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Principal Engineer- Data Quality<h4>HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.</h4><h4>A Career at HARMAN</h4><h4>As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.</h4>Introduction: A Career at HARMAN AutomotiveWe’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.<ul><li>Engineer audio systems and integrated technology platforms that augment the driving experience.</li><li>Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence</li><li>Advance in-vehicle infotainment, safety, efficiency, and enjoyment</li></ul>About the RoleThis is a position in Data Quality Lead to take ownership of data quality initiatives across the organization. This role is essential in ensuring enterprise data is accurate, consistent, and reliable—supporting data-driven decision-making and operational excellence.The successful candidate will assess the current state of data quality, define and execute improvement goals, and lead the implementation of governance and monitoring frameworks. You will collaborate across business and IT teams to embed quality controls, optimize data transformation, and enable scalable data processes aligned with business objectives.What You Will Do<ul><li>Assess current data quality conditions and define measurable improvement targets across business domains.</li><li>Lead Data Quality Management and Transformation efforts including standardization, governance, and automation of critical data elements.</li><li>Establish and manage frameworks for data cleansing, profiling, and rule-based validation.</li><li>Define and track data quality metrics using dashboards, scorecards, and audit processes to benchmark and improve performance.</li><li>Ensure the availability and effective use of Data Quality tools and platforms such as SAP Data Services, SAP Information Steward, and Microsoft Purview to monitor and enhance data quality.</li><li>Recommend and implement strategies to remediate data quality issues, ensuring solutions align with business goals and compliance requirements.</li><li>Collaborate with business leadership and key stakeholders to communicate the value of data quality improvements in business terms.</li><li>Drive a data-quality-first mindset by leading cross-functional collaboration between business units, IT teams, and data governance stakeholders.</li><li>Escalate unresolved or cross-functional data quality issues to appropriate business or governance leaders.</li><li>Participate in the design and deployment of systems and data integration processes to ensure quality standards and controls are embedded early.</li><li>Lead and support data quality improvement projects using structured methodologies, including resource planning and business process redesign.</li><li>Promote success stories and positive outcomes to build momentum and engagement across the organization.</li></ul>What You Need to Be Successful<ul><li>Bachelor’s degree in business, Finance, Information Technology, or a related field—or equivalent work experience.</li><li>Minimum of 5 years of experience in data governance, data quality, or master data management.</li><li>Proven ability to design and implement enterprise-wide data quality frameworks and scalable processes.</li><li>Strong relationship-building and communication skills with the ability to work across a matrixed environment.</li><li>Experience managing complex projects with structured methodologies and tools for tracking and reporting progress.</li></ul>Bonus Points if You Have <ul><li>Master’s degree or higher accounting qualification would be a distinct advantage. </li></ul><ul><li>Good knowledge and experience working in SAP. </li></ul><ul><li>Prior experience of working in shared services / BPO industry would be a plus. </li></ul><ul><li>Strong interpersonal skills with stakeholders and other colleagues</li></ul>What Makes You Eligible<ul><li>Hands-on experience with SAP Data Services, SAP Information Steward, and Microsoft Purview.</li><li>Familiarity with SAP ERP systems and Product Lifecycle Management (PLM) tools.</li><li>Experience leveraging AI/ML techniques for data quality profiling, anomaly detection, and automated rule generation.</li><li>Knowledge of regulatory data standards and compliance frameworks (e.g., GDPR, CCPA).</li><li>Understanding of Master Data Management (MDM) concepts, tools, and integration approaches.</li><li>Prior experience in the automotive, manufacturing, or similar sectors is highly desirable.</li></ul>What We Offer <ul><li>Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.</li><li>Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)</li><li>Extensive training opportunities through our own HARMAN University</li><li>Competitive wellness benefits</li><li>Tuition reimbursement</li><li>“Be Brilliant” employee recognition and rewards program.</li><li>An inclusive and diverse work environment that fosters and encourages professional and personal development.</li></ul>#LI-AR2HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.<h4>Experience Level</h4>Senior Level

HARMAN India International Pvt Ltd (JBL)

Chief Engineer

Sr Stat ProgrammerJob Overview Provide experienced technical expertise to develop process methodology for department to meet internal and external clients’ needs. Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Provide technical expertise and leadership to the department. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements.Essential Functions • Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. • Program and plan the integration of databases from multiple studies or sources. • Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies. • Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies. • Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications. • Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies. • Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies. May manage project budget and resource requirements, and provide revenue forecasts for single studies. • Provide training and guidance to lower level staff.Qualifications • Master's Degree Computer science or related field and 7 years relevant experience Req Or • Bachelor's Degree Computer science or related field and 8 years relevant experience Req • Equivalent combination of education, training and experience in lieu of degree Req • Knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language • Good organizational, interpersonal, leadership and communication skills • Ability to effectively manage multiple tasks and projects • Excellent accuracy and attention to detail • Ability to establish and maintain effective working relationships with coworkers, managers and clientsIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at <a href="https://jobs.iqvia.com/" rel="noopener noreferrer" target="_blank">https://jobs.iqvia.com</a><h4>Experience Level</h4>Senior Level

IQVIA

Research Analyst

Advisor Data ScienceAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We’re looking for people who are determined to make life better for people around the world.The LCCI (Lilly Capability Center India) BI&amp;A (Business Insights &amp; Analytics) team was started in 2017 with the objective of supporting business decisions for the commercial and marketing functions in the US and ex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closely with business analytics team based in Indianapolis (HQ). The team currently comprises of ~300 team members, with varied backgrounds and skills across data democratization, data engineering, analytics, data sciences, and market research. The team works across customer segments which includes HCPs, Payer and HCOs, Consumer, and Medical Affairs. To better meet evolving business needs, the LCCI BI&amp;A team is investing in more in-house enhancement of data science models. We are looking for a techno-functional leader to provide thought leadership to a team of talented data scientists, ML engineers and data engineers and who can help drive innovation for impact modelling and other global initiatives.Core Responsibilities:Ownership of Project Delivery<ul><li>Serve as trusted advisor by actively participating in various phases of the projects (including kick-off, methodology development, execution, insight generation and data visualizations)</li><li>Effectively communicate with stakeholders to present the final outcomes and provide recommendations as needed</li><li>Build deep expertise on statistical/AI/ML techniques combined with strong knowledge of the commercial pharma business and the problems that are being solved by data and analytics</li></ul> Project Management and Leadership<ul><li>Set up processes to ensure continuous high-quality delivery by the team, including but not limited to implementing best project management practices (agile/ scrum as needed)</li><li>Support a team of highly talented professionals (data scientists, ML Ops); and implement upskilling plans as required for business need, working in close collaboration with the people leader</li><li>Coach/ Mentor and develop a pipeline of data science talent, and contribute to an inclusive community of analytics expert practitioners</li></ul> Strategic Growth and Thought Leadership<ul><li>Strategize on key opportunities/ whitespaces, drive discussions and expand outcomes from LCCI for data science driven business solutions</li><li>Interface with the cross functional partners across the organization, including data engineering, data analytics, data science, IT, and other groups to adopt efficient working models and deliver on high impact projects</li><li>Network with industry experts and external consultants as needed to develop, test, and implement new approaches and solutions for data science capabilities at LCCI</li></ul> Experience Required<ul><li>12+ years of relevant work experience with demonstrated experience of working as data scientist/ managing complex projects and cross-functional teams</li><li>Strong foundational understanding in applied statistics</li><li>Extensive experience working on the areas of machine learning and artificial intelligence, deep learning, natural language processing and other approaches to structured/unstructured data, advanced predictive modeling, visual analytics etc.</li><li>Significant coding experience in R and/or Python</li><li>Strong analytical and problem-solving skills to be able to structure and solve open ended business problems (pharma experience is highly preferred)</li><li>Experience with practical implementation of emerging AI and ML research concepts highly preferred</li></ul> Education<ul><li>Master’s/ Ph.D. degree in technology, statistics/mathematics, econometrics, operations research or computer science</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Senior Level

Eli Lilly and Company India Pvt Ltd

Data Science Intern

Associate Director - Data ScienceAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.LCCI Business Insights &amp; Analytics – Associate Director, Data ScienceAt Lilly, we unite caring with discovery to make life better for people around the world. We are a globalhealthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work todiscover and bring life-changing medicines to those who need them, improve the understanding andmanagement of disease. We are looking for people who are determined to make life better for peoplearound the world.The LCCI (Lilly Capability Centre India), BI&amp;A (Business Insights &amp; Analytics) team was started in 2017 withthe objective of supporting business decisions for the commercial and marketing functions in the US andex-US affiliates. This team is part of the LCCI - Commercial Services organization and works very closelywith business analytics team based in Indianapolis (HQ). The team currently comprises of ~300 teammembers, with varied backgrounds and skills across data democratization, data engineering, analytics anddata sciences, market research. The team works across customer segments which include HCPs, Payer andHCOs, Consumer and Med Affairs.Currently, we are hiring for an Associate Director who can manage Data Scientists in the team. This teamworks on commercial analytics requirements of Lilly’s US portfolio. The scope of work starts from launchsupport and continues across the life cycle of our products. There is a strong focus on predictive analyticsand for the same, we are expanding the data science team. The incumbent will- take ownership of people and work processes for the DS team- define structure and expand current delivery by building a strong process-focused culture- work closely with the onshore advisors to plan and build these capabilities to meet strategic needs- build and leverage relationships with stakeholders across BI&amp;A, other Commercial Services, and othertechnical teamsKey Responsibilities:People and Project Leadership Manage the Data Science team, help data scientists take ownership and deliver best outcomes,focusing on quality and productivity Will be responsible for supervising, managing, and motivating team members on a day-to-daybasis Create a framework for communication, project management and execution across team to helpdrive best practises Work under the guidance of DS director, implement policies and procedures that will improveoperations Collaborate closely with stakeholders to understand key result areas, ensure expansion andpenetration of data science use-cases Develop a pipeline of data science talent and leadership, and contribute to an inclusive communityof data analytics practitioners/ thought leaders Be able to act proactively to ensure smooth team operations and effective collaborationStrategic growth and thought leadership Strategize on key opportunities/ whitespaces, drive discussions and expand outcomes from LCCIfor data science solutions Focus on the future business needs and expand capabilities of the groupIntegrate working model for analytics capabilities across BI&amp;A teams, and where possible, acrossother LCCI teams to drive better cross-team resourcing, cross-pollination of best practices. Conducting quarterly/ annual performance reviews of the team and motivate team to achieveexcellent results Go beyond to support BI&amp;A leadership to implement out of box solutions which support Lilly’sorganizational objectives.Required Skills and Expertise: 12+ years of relevant experience in a data science and people management roles supportingPharma/Lifesciences Commercial ops internally or in consulting. At-least 6+ years’ experience in leading highly competent and analytics-oriented teams Persuasive communication and inter-personal skills High level of motivation and a strong desire to find creative solutions to challenging situations. Demonstrated ability to enforce business rules and policies in a constructive but disciplinedmanner Substantial analytics experience and understanding of complexities in specialty markets, analyticstechniques, and US pharmaceutical business Proven ability to manage resources to achieve project and business resultsEducation Bachelor’s/ Master’s degree in Computer Applications/ Mathematics/ Pharma or a related fieldfrom a premium collegeLilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Mid Level

Data Scientist

Human Capital Management-Bengaluru-Senior Analyst-Data AnalyticsHuman Capital Management (Analytics)At Goldman Sachs, we believe who you are makes you better at what you do. We seek out people with all types of skills, interests and experiences. For us, it’s all about bringing together people who are curious, collaborative and have the drive to make things possible for our clients and communities.Human Capital Management (HCM) plays a critical role in managing the firm's most important asset, its people. As the firm's business principles state, the quality and performance of our people is what sets us apart in an intensely competitive market. HCM (Analytics) is responsible for a broad range of activities, including collecting, analysing, and interpreting HR data to provide insights that improve workforce planning, employee engagement, talent management, and overall HR strategies.Are you looking for a new opportunity to showcase your client relationship and analytical skills? Do you have a strategic mind-set and the ability to build relationships? Do you enjoy a fast-paced environment with the ability to influence and enable change? If so, learn more about our Work Placement position in HCM and apply now.Responsibilities:The tasks will include, amongst others:<ul><li>Manage large datasets from various HR systems, ensuring data integrity and accuracy.</li><li>Develop and maintain HR dashboards, reports, and visualizations that provide insights into key HR metrics (e.g., turnover, headcount, employee engagement, performance metrics) using Power BI.</li><li>Build/maintain existing infrastructure of Anaplan Models related to HR processes</li><li>Work closely with HR and business leaders to understand their data needs, gather requirements, analyse data and provide actionable insights that support strategic decision-making.</li><li>Identify inefficiencies in HR processes and recommend data-driven solutions to improve HR operations.</li><li>Partner with HCM functional groups (Diversity, Equity &amp; Inclusion, Wellness &amp; Benefits, Employee Relations, Global Mobility, Compensation, Learning, Recruiting) on seamless HCM service to clients and dedicated local initiatives / programmes.</li></ul>Skills we are looking for:<ul><li>Strong written and oral communication in English, excellent presentation skills</li><li>Degree in Computer Science, Mathematics, Statistics, or a comparable discipline is preferred, with prior experience in data analysis or a related field being a plus</li><li>Knowledge of analytics tools (Power BI or Anaplan is required, combination of the two highly preferred)</li><li>Ability to work in a fast-paced, globally connected organization</li><li>Highly organized with strong attention to detail</li><li>Self-motivated and able to work in an autonomous, yet collaborative environment</li><li>Able to manage confidential information</li><li>Knowledge of Alteryx, Tableau, R or Python is a plus</li><li>Interests in HR metrics, workforce analytics, and data visualization</li></ul> <h4>Experience Level</h4>Senior Level

Goldman Sachs Services Pvt Ltd

Analyst

Data Engineer - DBTReq ID: 344790 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Data Engineer - DBT to join our team in Bangalore, Karnātaka (IN-KA), India (IN)."Job Duties: We are seeking an Engineer to join our DBI organization within Data Scientist &amp; Data Engineering team. Your role As a Data Engineer, your main responsibilities will involve: •    strong experience working in projects in DBT. •    The project is a migration of a SAS code to DBT code, so it's important that the candidate has experience in this type of projects. • Analyze data models and derive logical conclusions. • Processes modeling. • Hands on development and monitoring of the Azure cloud Platform and various associated components for data ingestion, transformation and processing. • Effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, including performance tuning and optimization. • Designs and writes programs according to functional and non-functional requirements. • Develops and maintains technical documentation. • Follows established configuration/change control processes.Minimum Skills Required: As a Big Data Developer / Data Engineer, your skills and experience will ideally include: • University level education or equivalent • 2+ years of experience working as a Data Engineer • Knowledge of design patterns • Ability to write complex SQL queries • A good understanding of distributed computation • DBT • GIT • Experience with Azure cloud. • Experience with Databricks. Nice to have: • Python • 1+ Experience in functional programming (preferably Scala - big plus) • 1+ years of experience in Apache Spark 2.0  (big plus) • Experience in R programming • Experience with Hadoop technologies (i.e. Sqoop, Hive, Flume etc.) • Continuous Integration / Continuous Deployment (Azure DevOps) • Experience in data exploration using notebooks (Databricks notebooks). • Experience in automation of regular tasks(e.g. data refreshes) using bash and python scripting."About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Mid Level

NTT DATA Global Delivery Services Ltd

Data Engineer

Quant Analytics AssociateJoin us to drive innovation and business impact through data excellence and collaboration.As a Quant Analytics Analyst in the Chase Data team, you play a key role in enabling business innovation by ensuring data is clearly documented, of high quality, and well-protected. You collaborate with technology and business partners to deliver data that supports business objectives, analytics, and reporting, while maintaining compliance with firmwide policies.Job responsibilities<ul><li>Define metadata and classifiers for data critical to the business area</li><li>Execute processes to identify, monitor, and mitigate data risks across the data lifecycle</li><li>Develop operational procedures for delivering data to support business operations and analytics</li><li>Document data requirements to ensure understanding across teams and functions</li><li>Partner with technology and business resources to investigate and remediate data issues</li><li>Lead development and reporting of operational performance metrics and KPIs</li><li>Create self-serve tools to provide real-time information to decision-makers</li></ul>Required qualifications, capabilities and skills<ul><li>Bachelor’s degree</li><li>Four years industry experience in a data-related field</li><li>Subject matter expertise in business or product data or processes</li><li>Hands-on experience with at least four of SQL, Python, SAS, Tableau, Alteryx</li><li>Proven ability to execute via internal partnerships</li><li>Strong interpersonal and communication skills</li><li>Analytical thinking and problem-solving skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Technical knowledge of data management and governance, big data platforms, or data architecture</li><li>Experience writing code and automating data sourcing, transformation, and analysis</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Aptitude Specialist

Data Platform EngineerOur Mission: 6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue. Our People: People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in deﬁning the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career. We are looking for a hands-on Data Platform Engineer to contribute to 6sense for our large-scale distributed ingestion and processing framework built on Apache Storm, Kafka, Spark. The engineer will work on improving reliability, scalability, and observability across real-time and batch data pipelines.
 
Key Responsibilities<ul><li>Develop and maintain real-time ingestion topologies (Apache Storm / Kafka) and batch pipelines (Spark / Hive).</li><li>Enhance S3-based ingestion, checkpointing, and recovery mechanisms for distributed data systems.</li><li>Build and optimize ETL workflows for ingestion, crawling, and enrichment pipelines.</li><li>Implement monitoring, alerting, and fault recovery across the ingestion platform.</li><li>Collaborate with internal teams to integrate crawled and processed data into downstream systems.</li></ul>Required Skills<ul><li>Strong understanding of Apache Storm, Kafka, and Spark for distributed data processing.</li><li>Hands-on experience with Hive and partitioned table management on S3/HDFS.</li><li>Proficiency in Java and Python for stream and batch pipeline development.</li><li>Familiarity with AWS services (S3, EC2, IAM) and CI/CD pipelines.</li><li>Strong debugging skills in multi-threaded or distributed environments.</li></ul>Preferred / Nice-to-Have<ul><li>Prior experience tuning Storm topologies, Spark job parallelism, and S3A connector performance.</li><li>Exposure to data lake architectures and schema evolution in Hive.</li><li>Experience with fault-tolerant design patterns (checkpointing, retries, recovery).</li><li>Familiarity with observability tools (Grafana, Prometheus, ELK).</li><li>Good understanding of data lineage and metadata management.</li></ul>Our Benefits: Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our oﬃces. We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. Equal Opportunity Employer: 6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to <a href="mailto:jobs@6sense.com">jobs@6sense.com</a><a href="mailto:jobs@6sense.com">.</a> We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to <a href="mailto:jobs@indeed.com" target="_blank">jobs@6sense.com</a>

6sense Insights India Private Limited

Sr Staff Machine Learning EngineerThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:This job will oversee the strategic direction and execution of machine learning projects. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.Job Description:Essential Responsibilities: <ul><li>Define and drive the strategic vision for machine learning initiatives within the team.</li><li>Lead the development and optimization of machine learning models.</li><li>Oversee the preprocessing and analysis of large datasets.</li><li>Deploy and maintain ML solutions in production environments.</li><li>Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>Monitor and evaluate the performance of deployed models, making necessary adjustments.</li><li>Mentor and guide junior engineers and data scientists.</li><li>Ensure adherence to best practices and industry standards in ML development.</li></ul>Minimum Qualifications:<ul><li>Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.</li><li>Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>Proven track record of leading the design, implementation, and deployment of machine learning models.</li></ul>Preferred Qualification:Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Data Annotation Engineer

Machine Learning EngineerPreferred Qualifications:
•	Experienced in Agile way of working, manage team effort and track through JIRA
•	High Impact client communication 
•	Domain experience in Retail, CPG and Logistics 
•	Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. EEO/About Us :
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Roles &amp; Responsibilities:
•	Understand the requirements from the business and translate it into an appropriate technical requirement.
•	Responsible for successful delivery of MLOps solutions and services in client consulting environments; 
•	Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.
•	Assist clients with operationalization metrics to track performance of ML Models
•	Help team with ML Pipelines from creation to execution
•	Guide team to debug on issues with pipeline failures
•	Understand and take requirements on Operationalization of ML Models from Data Scientist
•	Engage with Business / Stakeholders with status update on progress of development and issue fix
•	Setup Standards related to Coding, Pipelines and Documentation
•	Research on new topics, services and enhancements in Cloud Technologies

Infosys

Business Consulting - Data EngineerReq ID: 341803 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Business Consulting - Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Data Management ·         Develop data mapping specifications and transformation rules ·         Perform data cleansing, validation, and reconciliation activities ·         Create and execute data conversion scripts and processes ·         Document data models, mappings, and migration procedures System Integration ·         Configure integrations between Workday and third-party applications ·         Develop integration specifications and technical designs ·         Troubleshoot integration issues and implement solutions ·         Monitor integration performance and implement optimizations Technical Configuration &amp; Development ·         Design and implement Snowflake data models optimized for HR analytics ·         Create and maintain Snowflake objects (tables, views, stored procedures) ·         Develop SQL transformations within Snowflake for reporting requirements ·         Configure Workday modules according to design specifications ·         Build and maintain business processes, security configurations, and reports ·         Develop custom calculations, rules, and business logic ·         Create and maintain configuration workbooks and technical documentation ·         Participate in system testing, including unit, integration, and regression testing Reporting &amp; Analytics ·         Develop reporting solutions using Snowflake as the data source ·         Create data visualization dashboards connected to Snowflake ·         Build self-service reporting capabilities for HR and business users ·         Design and implement metrics and KPIs for HR analytics ·         Support data analysis needs throughout the implementation lifecycle Required Experience &amp; Skills ·         3+ years of experience in HRIS implementation, data management, or system integration ·         2+ years of hands-on experience with Workday/Greenhouse data conversion, integration, or reporting ·         Experience with Snowflake or similar cloud data warehouse platforms ·         Experience with architecting or working with ELT technologies (such as DBT) and data architectures ·         Strong SQL skills and experience with data transformation tools ·         Experience with ETL processes and data validation techniques ·         Understanding of HR data structures and relationships ·         Excellent analytical and problem-solving abilities ·         Knowledge of programming languages (Python etc.) ·         Experience with data visualization tools ·         Understanding of API integration patterns and technologies ·         Experience with agile development methodologiesAbout NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Mid Level

DIRECTOR, DATA SCIENCE<h4>Position Summary...</h4><h4>What you'll do...</h4>About the Team:The International Applied AI team builds and scales AI/ML solutions that power customer experiences and business operations across Walmart’s global markets. Working at the intersection of data, technology, and retail, the team develops advanced systems in Search, Personalization, Ads, Fraud Prevention, and Customer Insights. By collaborating with product, engineering, and business stakeholders worldwide, the team delivers data driven innovation that impacts millions of customers every day and drives Walmart’s mission of transforming retail through AI.What you’ll do:Strategic Leadership &amp; Vision: Define and drive the data science strategy across Search, Personalization, Ads, Fraud Prevention, and Customer Insights for Walmart’s International markets. Champion AI/ML innovation, ensuring alignment with business goals and measurable customer impact.Team Building &amp; Talent Development: Lead, mentor, and scale high-performing data science and ML engineering teams at the Bangalore center of Walmart Global Tech. Foster a culture of innovation, experimentation, and delivery while building strong talent pipelines.Cross-Functional Collaboration: Partner with global product, engineering, and business teams to co-create scalable data products. Translate complex business problems into actionable AI/ML solutions and influence senior stakeholders with insights and storytelling.Model Development &amp; Deployment: Oversee the design, deployment, and continuous improvement of ML models across personalization, ranking, ad relevancy, fraud detection, and customer insights. Ensure model robustness, fairness, explainability, and governance at scale.Operational Excellence &amp; Delivery: Drive end-to-end execution from problem framing through experimentation, deployment, and impact measurement. Set clear OKRs and KPIs to track outcomes, and establish processes for reusability, documentation, and knowledge sharing.Innovation &amp; Emerging Technologies: Stay ahead of trends in GenAI, LLMs, causal inference, and reinforcement learning to unlock next-gen opportunities.What you’ll bring• 15+ years of relevant experience in data science, advanced analytics, or AI/ML strategy, with a proven track record of leading large-scale, high-impact initiatives.• Deep expertise in retail and e-commerce domains such as personalization, ads optimization, fraud prevention, customer insights, and search/retrieval systems. • Strong leadership background in building and scaling multi-disciplinary teams (Applied Scientists, Data scientists, ML engineers) in global or matrixed organizations.• Proven ability to drive cross-functional initiatives by partnering with product, engineering, and business stakeholders across geographies.• Technical depth in AI/ML systems including model development, deployment, and governance along with familiarity with emerging areas like GenAI, LLMs, causal inference, and reinforcement learning.• Analytical rigor and strategic thinking to structure complex problems, derive insights, and translate them into measurable business outcomes.• Excellent communication and executive storytelling skills, with the ability to influence senior leadership and diverse stakeholders.• Experience operating in fast-paced, global environments, balancing innovation with execution discipline and operational excellenceAbout Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.BenefitsBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.BelongingWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.Equal Opportunity EmployerWalmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.<h4>Minimum Qualifications...</h4>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field. 2 years' supervisory experience.<h4>Preferred Qualifications...</h4>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. <h4>Primary Location...</h4>BLOCK- 2, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1P, OUTER RING ROAD KADUBEESANAHALLI, , India<h4>Experience Level</h4>Executive Level

Walmart India Pvt Ltd

Commercial Data Intelligence AnalystAVEVA is creating software trusted by over 90% of leading industrial companies.Key Responsibilities<ul><li>Commercial Data Intelligence – Deliver and advance the commercial data strategy to ensure a “single version of the truth” for reporting, analytics, and AI/ML initiatives. Contribute to data warehouse and data lake initiatives to enable advanced analytics and AI-ready datasets.</li><li>Data Engineering Pipelines – Design and maintain ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines), ensuring data quality, integrity, and timeliness. Drive adoption of standardized data infrastructure by replacing non-standard data sources (Excel, manual files, SharePoint) with governed pipelines and curated datasets.</li><li>AI-Ready Data Preparation – Structure, cleanse, and enrich data to make it suitable for machine learning models, predictive analytics, and recommendation engines. Collaborate with data science teams to enable feature engineering and model deployment.</li><li>Data Analysis – Perform deep-dive and ad-hoc analyses, generating actionable insights to address commercial challenges and opportunities, with a focus on improving data pipelines and usability.</li><li>Stakeholder Engagement – Collaborate with senior commercial, sales, and operations leaders to understand requirements, design analytical solutions, and ensure data outputs meet business needs.</li><li>SQL &amp; Data Modelling – Develop, optimize, and maintain complex SQL queries and data models to support scalable analytics and AI workflows.</li><li>Continuous Improvement – Identify and implement opportunities to improve data workflows, streamline manual processes, and enhance the reliability of commercial datasets. Stay current with Microsoft Fabric and cloud data engineering best practices.</li></ul>Skills &amp; Qualifications<ul><li>Bachelor’s degree in data engineering, Computer Science, Information Systems, or a related field.</li><li>3–5 years of experience in data integration, data engineering, or commercial data management roles.</li><li>Strong SQL skills for data extraction, transformation, and validation across large datasets.</li><li>Experience with cloud-based data platforms (Azure Synapse, Microsoft Fabric, Databricks, or similar).</li><li>Knowledge of data modeling concepts (star schema, normalization / denormalization) and ETL best practices.</li><li>Familiarity with Salesforce data structures and other commercial systems is a plus.</li><li>Ability to design AI/ML-ready datasets and support analytics teams in feature engineering.</li><li>Strong problem-solving skills with attention to detail and commitment to data quality.</li></ul>Excellent communication and collaboration skills to work with cross-functional stakeholders.India Benefits include:  Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being supportIt’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid workingBy default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.Hiring processInterested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVAAVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.  AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.<h4>Experience Level</h4>Mid Level

AVEVA

Data Analyst

Customer Data Governance & MDM AnalystAVEVA is creating software trusted by over 90% of leading industrial companies.Key Responsibilities<ul><li>Customer Master Data Management<ul><li>Maintain customer master data workflows (create/update) within the MDM ecosystem (Informatica IDQ &amp; MDM).</li><li>Support account hierarchy management to ensure correct relationships and roll-ups.</li><li>Own enrichment of new customer records and ensure completeness of key attributes (ID numbers, industry, geography, address).</li></ul></li><li>Data Quality &amp; Match/Merge<ul><li>Define and monitor data quality rules, metrics, and thresholds.</li><li>Perform regular match &amp; merge validations to eliminate duplicates and maintain a single source of truth.</li><li>Investigate, resolve, and document data quality issues and root causes.</li></ul></li><li>Data Alignment &amp; Process Automation<ul><li>Aligning customer data across core business systems and maintaining consistency.</li><li>Collaborate with IT to automate customer onboarding and updates.</li><li>Ensure application of data standards across systems.</li></ul></li><li>Governance &amp; Stakeholder Collaboration<ul><li>Participate in data governance forums, contribute to policies and best practices.</li><li>Act as a point of contact for customer data-related inquiries and escalations.</li></ul></li><li>Reporting &amp; Monitoring<ul><li>Prepare regular reports on customer data quality and completeness.</li><li>Highlight trends, risks, and opportunities for process improvement.</li></ul></li></ul>Skills &amp; Qualifications<ul><li>Bachelor’s degree in computer science, Information Systems, Data Science, or related field.</li><li>2–5 years of experience in Data Quality, Data Governance, or MDM roles.</li><li>Strong analytical and problem-solving skills with a focus on data accuracy.</li><li>Proficiency in SQL, Excel, and data analysis techniques.</li><li>Familiarity with CRM systems (e.g., Salesforce) preferred.</li><li>Understanding of data governance principles and data management best practices.</li><li>Excellent attention to detail and ability to work with cross-functional teams.</li><li>Strong communication skills to collaborate with stakeholders at all levels.</li><li>Knowledge of data visualization tools (e.g., Power BI) is a plus.</li></ul>India Benefits include:  Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being supportIt’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: aveva.com/en/about/careers/benefits/Hybrid workingBy default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.Hiring processInterested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.Find out more: aveva.com/en/about/careers/hiring-processAbout AVEVAAVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/Find out more: aveva.com/en/about/careers/AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check.  Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.  AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.<h4>Experience Level</h4>Mid Level

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