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Big Data Developer Mandatory Skills- AWS, Scala, Spark, HadoopExperience- 3.5 to 9 years Share your updated resume now.

Coforge

Data Scientist

I&F Decision Sci Practitioner Assoc MgrSkill required: Delivery - Analytics Insights Designation: I&amp;F Decision Sci Practitioner Assoc Mgr Qualifications:Any Graduation Years of Experience:10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
Insight is the value obtained through the use of analytics. Analytical insights are incredibly powerful and can be used to grow business while identifying areas of opportunity. What are we looking for? • Data Science/Insights
• Ability to manage multiple stakeholders
• Ability to handle disputes
• Ability to meet deadlines
• Ability to perform under pressure
• Problem-solving skills Roles and Responsibilities: • In this role you are required to do analysis and solving of moderately complex problems
• Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures
• The person requires understanding of the strategic direction set by senior management as it relates to team goals
• Primary upward interaction is with direct supervisor or team leads
• Generally, interacts with peers and/or management levels at a client and/or within Accenture
• The person should require minimal guidance when determining methods and procedures on new assignments
• Decisions often impact the team in which they reside and occasionally impact other teams
• Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture

Accenture India Private Limited

Associate Business Analyst

Analytics and Modeling LeadProject Role : Analytics and Modeling Lead Project Role Description : Lead the effort to gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making. Must have skills : Oracle Database Administration (DBA) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As an Analytics and Modeling Lead, you will be at the forefront of data analysis and modeling efforts. Your typical day will involve collaborating with various teams to gather and analyze client data, including customer information, financial metrics, operational details, and market insights. You will utilize a diverse range of analytical tools and techniques to transform this data into actionable business insights, ultimately enhancing decision-making processes across the organization. Your role will also require you to engage with stakeholders to understand their data needs and provide them with the necessary insights to drive strategic initiatives.
 
Roles &amp; Responsibilities: 
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Facilitate workshops and meetings to gather requirements and present findings.
- Develop and maintain comprehensive documentation of data models and analytical processes.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Oracle Database Administration (DBA).
- Strong understanding of data modeling techniques and best practices.
- Experience with performance tuning and optimization of database systems.
- Familiarity with data integration tools and ETL processes.
- Ability to write complex SQL queries for data extraction and analysis.
 
Additional Information: 
- The candidate should have minimum 3 years of experience in Oracle Database Administration (DBA).
- This position is based at our Mumbai office.
- A 15 years full time education is required.

Marketing Lead

Specialist - Data Science EngineerApplies and integrates statistical, mathematical, predictive modelling and business analysis skills to manage and manipulate high volume data from a variety of sources and able to identify business opportunities from the insights and predictions that result from that analysis. Collates, models, interprets and analyses data, explains variances and trends and recommends business opportunities from that analysis. Works on and off the cloud.<ul><li>Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources and to identify business growth opportunities for Nasdaq and their clients.</li><li>Generates algorithms and creates computer models; builds web prototypes and performs data visualization.</li><li>Leads data validation work on the various hypothesis and prediction modelling activities of the team; working across the team.</li><li>Strategizes new uses for data and its interaction with data design.</li><li>Conducts scalable data research and collaborates with Lead engineers and other scientists, discovering the trends/stories and how that translates into business opportunity. </li><li>Collaborates with Data Engineers to develop experiments and hypothesis.  Leads statistical and mathematical predictive modelling to test hypothesis.</li><li>Works closely with business/product sponsors to understand the business needs and ensures hypothesis, predictive modelling and data validation is in line with business opportunity.</li><li>Stays current on technological and analytical trends. Trains the data scientist team on new or updated technologies and updated procedures.</li><li>Writes white papers for peer review</li><li>Additionally:</li><li>Perform the data science and machine learning activities across the Workflow and Insights Org</li><li>Design and develop advanced AI/ML models and algorithms for complex business problems</li><li>Define and implement ML strategy aligned with business objectives</li><li>Lead and mentor a team of data scientists and ML engineers</li><li>Drive innovation in AI/ML methodologies and techniques</li><li>Establish model development, validation, and deployment standards</li><li>Oversee model performance monitoring and optimization</li><li>Develop frameworks for A/B testing and experimentation</li></ul><ul><li>8+ years of experience in data science/ML, with 5+ years leading teams</li><li>PhD/Master's in Computer Science, Statistics, or related quantitative field</li><li>Expert knowledge in machine learning algorithms and statistical modeling</li><li>Proficiency in programming languages such as Python, R, SQL, and related ML frameworks like TensorFlow, PyTorch, and Scikit-learn</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)</li><li>Extensive experience with deep learning architectures</li><li>Proven track record of deploying ML models to production</li><li>Strong background in experimental design and causal inference</li><li>Experience with large-scale data processing and distributed computing</li></ul>Excellence in scientific writing and technical communication Come as You AreNasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.<h4>Experience Level</h4>Senior Level

Nasdaq Corporate Solutions India Pvt Ltd

Senior Specialist – AI-ML EngineerApplies and integrates statistical, mathematical, predictive modelling and business analysis skills to manage and manipulate high volume data from a variety of sources and able to identify business opportunities from the insights and predictions that result from that analysis. Collates, models, interprets and analyses data, explains variances and trends and recommends business opportunities from that analysis. Works on and off the cloud.<ul><li>Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources and to lead projects in identifying business growth opportunities for Nasdaq and their clients.  Is working across business units.</li><li>Stays abreast of new technologies and brings best practice thinking into review of internal and external analytical techniques used, processes, and tools.</li><li>Coaches and leads work with more junior team members on building and prototyping data visualizations; creating computer models, and building data visualizations. </li><li>Is a functional expert in working in the cloud to conduct scalable data research;  completes modelling and business analysis and develops experiments to test potential deployments</li><li>Works closely with product sponsors to understand business needs and propose solutions:<ul><li>Use domain knowledge and analytical expertise to suggest new product ideas</li><li>Rapidly conduct experiments to validate new product ideas</li><li>Write research reports describing the experiment conducted, results, and findings.</li><li>Based on these results, recommends actions to technology, product, and senior management.</li></ul></li><li>Partners with BU’s to brainstorm ideas on new opportunities; provides constructive feedback to the technology  and business teams on their business growth ideas, based on analytics and modelling.</li><li>As a functional leader takes ownership of new projects and initiatives and mentors junior engineers in the team.</li><li>Writes and publishes white papers for industry review.</li></ul>Additionally:<ul><li>Design, develop and deploy generative AI solutions for enterprise applications, AI Agents, AI workflows</li><li>Architect and implement large language models (LLMs) and other generative models</li><li>Optimize model performance, efficiency, and computational resources</li><li>Develop API integrations and microservices for AI model deployment</li><li>Ensure responsible AI practices including bias detection and mitigation</li><li>Implement security measures and data privacy controls</li><li>Create monitoring systems for model performance and drift detection</li></ul>Come as You AreNasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.<h4>Experience Level</h4>Senior Level

Automation Process Engineer

Measurement & Report Senior AnalystSkill required: Trust &amp; Safety - Workforce Management (WFM) Designation: Measurement &amp; Report Senior Analyst Qualifications:Any Graduation Years of Experience:5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Accenture is a trusted, innovative, comprehensive, and experienced partner to leading platform companies. The Trust and Safety offering within Accenture Operations helps keep the internet safe and helps platform companies accelerate, scale, and improve their businesses. 
You will be responsible for leading a team of Content Moderators whose role is analyzing and reviewing user profiles, audio, videos, and text-based content and/or investigating, escalating and/or resolving issues that are reported by users or flagged by the system. Due to the nature of the role, the individual and you may be exposed to flashing lights or contrasting light and dark patterns.
Content moderation is meaningful work that helps keep the internet safe. It may also be challenging, at times. In the context of this role, individuals may be directly or inadvertently exposed to potentially objectionable and sensitive content (e.g., graphic, violent, sexual, or egregious). Therefore, any role supporting content moderation needs strong resilience and coping skills. We care for the health and well-being of our people and provide the support and resources needed to perform their role responsibilities. Active participation in Accenture’s well-being support program, designed specifically for the Trust &amp; Safety community, provides valuable skills to promote individual and collective well-being. What are we looking for? Strong understanding of WFM Concepts and tools
Proficiency in Advance Excel and SQL and data manipulation for WFM reporting
Experience with Excel-based scheduling models and dashboards.
Exposure to BI tools like Tableau, QuickSight, Power BI is a plus.
WFM experience as Schedular, RTAs, Capacity planning, Forecasting, etc. 
Quality Assurance: Ensures accuracy in data analysis and validates outputs to minimize errors.
Effective Communication: Able to convey ideas clearly across teams and stakeholders, both verbally and in writing.
Stakeholder Engagement: Builds and maintains strong working relationships with internal and external partners.
Analytical Thinking: Applies sound judgment and problem-solving skills to interpret data and make informed decisions.
Self-Management: Works independently with minimal supervision, prioritizes tasks effectively, and adapts quickly to changing demands.
Presentation Skills: Communicates insights and recommendations in a clear, concise, and structured manner. Roles and Responsibilities: Manage and support complex WFM processes including scheduling, forecasting, real-time monitoring, and capacity planning.
Core WFM experience of 6+ years
Collaborate with cross-functional teams (Operations, PMO, Reporting, and MIS) to ensure alignment of workforce strategies with business goals.
Act as an SME for WFM tools and methodologies, ensuring optimal staffing and service level achievement.
Leverage AWS cloud solutions for forecasting, anomaly detection, and automation of WFM processes.
Ensure data accuracy and consistency across WFM reports and dashboards.
Provide actionable insights to Ops Managers/Leads to drive data-informed decisions

Analyst

Data Analyst The Lead Data Analyst, AI &amp; Bedrock Specialization, will be responsible for spearheading advanced data analytics initiatives, leveraging AI and generative AI capabilities, particularly with Amazon Bedrock. With 5+ years of experience, you will lead the design, development, and implementation of sophisticated analytical models, provide strategic insights to stakeholders, and mentor a team of data professionals.This role requires a blend of strong technical skills, business acumen, and a passion for pushing the boundaries of data analysis with AI. &nbsp;Key Responsibilities:&nbsp;• AI/ML &amp; Generative AI Implementation (Bedrock Focus):&nbsp;&nbsp;• Implement data analytical solutions leveraging Amazon Bedrock, including selecting appropriate foundation models (e.g., Amazon Titan, Anthropic Claude) for specific use cases (text generation, summarization, complex data analysis).&nbsp;&nbsp;• Design and optimize prompts for Large Language Models (LLMs) to extract meaningful insights from unstructured and semi-structured data within Bedrock.&nbsp;&nbsp;• Explore and integrate other AI/ML services (e.g., Amazon hashtag#SageMaker, Amazon Q) to enhance data processing, analysis, and automation workflows. Share your updated resume now.

Tekskills India Private Limited

Data Analyst

Databricks AWS DE ConsultantMandatory Skills<ul><li>Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline</li><li>5+ years of relevant experience in data engineering roles</li><li>Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding</li><li>Proficient in programming languages: Python</li><li>Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools(Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.</li><li>Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.</li><li>Experience building metrics deck and dashboards for KPIs including the underlying data models.</li><li>Understand how to design, implement, and maintain a platform providing secured access to large datasets</li></ul><ul><li>Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline</li><li>5+ years of work experience with ETL, Data Modelling, and Data Architecture.</li><li>Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools(Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.</li><li>Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch.</li><li>Experience with Data streaming service e.g Kinesis Kafka</li><li>Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations</li><li>Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems</li><li>Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis</li></ul><h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Data Engineer

Data & Analytics Specialist Join us at EY and be part of a dynamic team that is shaping the future of work in the GCC and beyond and take the first step towards an exciting and rewarding career opportunity! Position: Data &amp; Analytics SpecialistExperience: 5-8 yearsLocation: Hyderabad Apply now for above role (relevant exp only)by sending your resume.

Ernst & Young LLP ( EY India )

Sr. Manager - Data Integrity1.Develop and enforce data governance policies and procedures. Define data ownership and stewardship roles within the organization. Ensure compliance with data privacy laws and regulations.2.Oversee the entire data lifecycle from creation to disposal. Ensure data is properly archived and disposed of according to policies. Maintain data documentation and metadata3.Proactively promote the use of data for decision-making and strategic planning. Provide guidance on data usage and best practices. Support data analytics and reporting initiatives.4.Establish and monitor data quality metrics. Identify and resolve data quality issues. Implement data validation and cleansing processes.5.Be the primary point of contact for data-related issues. Collaborate with IT, business analysts, and compliance teams to align data management practices with business objectives. Communicate data governance policies and procedures to stakeholders.6.Provide training and guidance to employees on data governance principles, policies, and procedures. Raise awareness of data management best practices and their importance to business operations. Foster a culture of improved data integrity, collaboration, and continuous improvement.7.Stay updated on industry trends and best practices in data management. Continuously improve data governance frameworks and processes. Evaluate and implement new data management tools and technologies, while ensuring they are effectively integrated.8.Promote the use of data for decision-making and strategic planning. Provide guidance on data usage and best practices. Support data analytics and reporting initiatives.9.Ensure data is protected against unauthorized access and breaches. Implement data security measures and controls. Ensure regular data security audits and assessments.A Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. A master's degree or relevant certifications (e.g., CDMP) are highly desirable.1.At least 17+ years of experience in data management, data governance, or a related field. Proven experience in leading data governance initiatives and managing cross-functional teams.2.Proficiency in data governance tools and technologies, data quality management, metadata management, and data privacy regulations. Familiarity with data architecture and data modeling techniques. Ability to apply governance policies, standards, and procedures.3.Experience in coal mining is highly beneficial. Understanding of mining-specific data requirements and challenges4.Deep understanding of data sources, formats, and structures. Proficiency in data manipulation and transformation5.Skills in data quality assessment and improvement techniques. Experience with data profiling, cleansing, validation, and enrichment. Proficiency in using data cataloging tools and metadata repositories.6.Strong domain understanding of the organization's business processes and objectives. Ability to align data management activities with business needs.7.Strong analytical and problem-solving skills to address complex data issues and develop effective governance strategies8.Excellent leadership and project management skills. Ability to influence and collaborate with stakeholders at all levels of the organization.9.in-depth understanding of data privacy laws and standards (e.g., GDPR, DMBoK, DPDP, etc.) and their implications for data governance.10.Excellent communication skills to convey complex insights to non-technical stakeholders.11.Experience in driving organizational change and fostering a data-driven culture12.Ability to work effectively and independently in a fast-paced agile environment with tight deadlines13.A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.<h4>Experience Level</h4>Senior Level

Adani Enterprises Ltd

Senior Data Processing Officer

Deputy Manager-Analytics<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>RoleSr Quality Engineer: Automation Testing for UK based wealth management clientLocation: BangaloreEssentialCoded Automation : proficiency in C sharp &amp; Visual Studio Playwright experience preferred Specflow/ReqNroll or similar BDD frameworkJIRA or equivalentConfluence or equivalentGeneral8 plus yrs QE testing experience with a demonstrable track record on large greenfield projects Test Automation Strategy &amp; Best Practices – Ability to assess when to use automation vs. manual testing based on risk, ROI, and test stability.API &amp; Integration Testing – Hands-on experience with standard industry tools such as PostmanRisk-Based Testing Decisions – Ability to determine which tests should be automated - high-volume, regression, API vs. which should remain manual - usability, exploratory, edge cases.Test Maintenance &amp; Scalability – Ensuring automation is sustainable by implementing best practices like self-healing tests, modular frameworks, and reusable test scripts.Shift-Left Testing – Embedding automation early in developmentExploratory &amp; Manual Testing Strategy – Understanding the value of manual testing in scenarios that require human intuition, such as UX, accessibility, and new feature validationAgile &amp; Scrum Experience – Active participation in Agile ceremoniesExcellence in soft skills including communication, collaboration and problem solvingAutomation Framework Design – Experience building and maintaining robust automation frameworksLeadership experience – experience with leading Quality Engineers/Automation Engineers.Pipeline &amp; CI CD experience – setting up, maintenance and running of pipelines, etc.DesirablePerformance &amp; Load Testing – Familiarity with tools like JMeter, Gatling, or LoadRunner<h4>Qualifications</h4>Bachelor's Degree<h4>Experience Level</h4>Mid Level

WNS Global Services Pvt Ltd

Deputy Manager

REF69967Q_2025151745 - Deputy Manager - Data Science + Python - 4 to 6 years - Pune<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>Roles &amp; Responsibilities:Data Analysis: Analyse large datasets to extract meaningful insights and trends.Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems.Data Cleaning: Ensure data quality by cleaning and pre-processing data.Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (e.g., Matplotlib, Seaborn).Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions.Reporting: Generate automated reports and dashboards to provide actionable insights.Research: Stay updated with the latest trends and technologies in data science and machine learning.Technical Skills Required:Programming Languages: Proficiency in Python and SQL.Machine Learning: Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Data Visualization: Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly.Statistical Analysis: Strong understanding of statistical methods and techniques.Data Wrangling: Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy.Platforms like Power BI, Power Automate, Apps are good to have.<h4>Qualifications</h4>Experience or Prerequisites:Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.Experience: 3+ years of experience in data science or a related field.Projects: Proven track record of working on data science projects and delivering impactful results.Certifications: Relevant certifications in data science or machine learning are a plus.<h4>Experience Level</h4>Mid Level

Business Analyst, Senior<h4>

 
 General information
 </h4>






 Country
 

 India
 



 State
 

 Telangana
 



 City
 

 Hyderabad
 



 Job ID
 

 46282
 



 Department
 

 Development
 



 Experience Level
 

 MID_SENIOR_LEVEL
 



 Employment Status
 

 FULL_TIME
 



 Workplace Type
 

 On-site
 






<h4>

 
 Description &amp; Requirements
 </h4>The Process Mining Analyst is responsible for analyzing business processes to identify inefficiencies, bottlenecks, and areas for improvement. This role involves working with various stakeholders to gather requirements, extracting and processing data, and delivering insights using mining visualizations and dashboards. The analyst will play a crucial role in building &amp; enhancing process insights for process performance and driving operational excellence.Key Responsibilities:1. Data Collection and Preparation:<ul><li>Extract data from various business systems and databases.</li><li>Cleanse and prepare data for analysis to ensure accuracy and consistency.</li></ul>2. Process Analysis:<ul><li>Utilize process mining tools to analyze business processes.</li><li> Identify patterns, deviations, and opportunities for process optimization.</li><li> Conduct root cause analysis to uncover underlying issues affecting process performance.</li></ul>3. Visualization and Reporting:<ul><li>Develop dashboards and visualizations to present process insights.</li><li>Create detailed reports to communicate findings to stakeholders.</li><li> Provide recommendations for process improvements based on data analysis.</li></ul>4. Stakeholder Collaboration:<ul><li>Work closely with business units to understand process workflows and pain points.</li><li>Gather and document requirements for process analysis projects.</li><li>Present findings and recommendations to management and other stakeholders.</li></ul>5. Continuous Improvement:<ul><li>Monitor and track the impact of implemented process changes.</li><li>Stay updated with industry trends and advancements in process mining techniques and tools.</li><li>Participate in continuous improvement initiatives to enhance process efficiency</li></ul>6. Tool and Technology Management:<ul><li>Maintain and administer process mining software and tools.</li><li>Ensure the integration of process mining tools with existing business systems.</li></ul>Qualifications:Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Science, or a related field. About Infor Infor is where ambition meets impact. Join a global community of bold thinkers and innovators, where your expertise doesn’t just solve problems. it shapes industries, unlocks opportunities, and creates real-world impact for billions of people. At Infor, you’re not just building a career. you’re helping to build what’s next. Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit <a href="https://www.infor.com/">www.infor.com</a> Our Values At Infor, we strive for an environment that is founded on a business philosophy called <a href="http://https//www.kochind.com/about/business-philosophy">Principle Based Management</a>™ (PBM™) and eight Guiding Principles: integrity, stewardship &amp; compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. We have a relentless commitment to a culture based on PBM™. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the <a href="https://www.infor.com/about/careers/faq">FAQ section</a>. Fraud Awareness We have been made aware of unauthorized individuals posing as Infor recruiters, including some who have made fraudulent offers of employment. Please read our <a href="https://dam.infor.com/api/public/content/b45f298e1ab44b84ac898d759b2c21f7?v=3994f5e9">guidelines </a>and protect yourself from recruitment scams. Fraud Privacy Policy We value your privacy at Infor. You may access our privacy policy <a href="https://www.infor.com/about/privacy">here</a>. <h4>Experience Level</h4>Senior Level

Infor India Pvt Ltd

Business Analyst

Senior Data Engineer<h4>Job Description</h4>Job Title- Senior Data EngieerLocation - Pune/ Chennai About Job:As a senior Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and supporting cutting-edge technologies such as Python, Pyspark, SQL, Hive, Databricks, Airflow.  These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Git HubAction, and GIT-Hub.  WHAT YOU’LL DO: <ul><li>​​Develop, troubleshoot, debug and make application enhancements and create code leveraging Python, SQL as the core development languages.  </li><li>Develop new BE functionalities working closely with the FE team. </li><li>Contribute to the expansion of NRPS scope </li></ul><h4>Qualifications</h4> • 5-10 Years of years of applicable software engineering experience   • Strong fundamentals with experience in Bigdata, Python, Pyspark, SQL, Hive, Airflow  • Must have a strong Python level  • Must have SQL knowledge.   Good to have:• Good to have experience in scala and databricks.  • Good to have experience in Linux and KSH  • Good to have experience with DevOps Technologies as GIT Hub,  GIT Hub action, Docker.  • Good to have experience in the Retail Domain.  • Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business. <h4>Additional Information</h4><ul><li>Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms and a collaborative culture.</li><li>Stay relevant and upskill yourself with career development opportunities and a fast-paced environment.</li><li>Recharge and revitalize with help of wellness plans made for you and your family.</li><li>Plan your future with financial wellness tool</li></ul>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a>Our commitment to Diversity, Equity, and InclusionAt NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a><h4>Experience Level</h4>Senior Level

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