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IN_Manager_Data_Snowflake_Architect_ Analytics_Advisory_GurgaonLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· Lead the design, development, and implementation of data architecture and solutions • Oversee, develop and manage data transformation processes within Snowflake to ensure data integrity, quality, and performance. • Design and optimize Data Warehouse (DWH) and Business Intelligence (BI) architectures to support business analytics and reporting needs. • Well versed with Salesforce &amp; CPQ data and architecture. Understands financial bookings and revenue reports in Salesforce and DWH, ensuring accurate reporting and reconciliation practices. • Provide technical leadership and mentorship to a team of data engineers and analysts, fostering a culture of innovation and continuous improvement. • Collaborate with cross-functional teams to gather and analyze business requirements, translating them into technical specifications and data models. • Implement and maintain best practices for data management, data governance, and data security. • Implementation of BI tools, like Tableau, Power BI, Sigma Computing, and others, to enhance data visualization and reporting capabilities. • Stay current with industry trends, emerging technologies, and best practices in data architecture, data transformation, and BI tools.Mandatory skill sets:Solution Architect, Snowflake, Data warehousing, BI Tools Experience, Data Migration on or from snowflakePreferred skill sets:SnowflakeYears of experience required:Experience and Qualifications 8 to 10 yearsEducation qualification:· Bachelor’s or master’s degree in computer science, Information Technology, or a related field. • A minimum of 10 years of experience in data architecture, data engineering, or a related field. • Proven expertise in Snowflake and data transformation processes within Snowflake. • Strong background in Data Warehouse (DWH) and Business Intelligence (BI) architecture.• Experience with Salesforce &amp; CPQ data and architecture. • Proficiency with BI tools such as Tableau, Power BI, Sigma Computing, and others. • In-depth understanding of financial bookings and revenue reports in Salesforce and DWH. • Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment. • Strong leadership and team management skills, with the ability to motivate and guide a team of technical professionals. • Exceptional communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsBusiness Intelligence Tools, Data Migrations, Data Warehousing (DW), Snowflake (Platform), Solution ArchitectureOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Engineer

IN_Senior Associate_Experienced Software Engineers (SWEs)_Data and Analytics_Advisory_PuneLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:Experienced Software Engineers (SWEs) Opportunity: We are seeking highly skilled, motivated, and experienced Software Engineers with a passion for performance optimization and specialized system development to join our PwC Google Data and Analytics team. In this pivotal role, you will play a crucial part in designing, developing, and deploying scalable, high-performance Data and AI solutions that will power our products, accelerators, and client solutions &amp; products. This involves building systems and tools that enhance speed, scale, and efficiency of AI agents, simulations, real-time data processing, and advanced analytical workloads. You will have the opportunity to work on complex technical challenges, work with novel architectures, and directly impact the performance capabilities of our core products and those of our clients. What You'll Do: · Design, develop, test, deploy, and maintain robust, scalable, and high-quality software applications, ADKs. · Design, develop, and optimize software for high-performance computing, focusing on accelerating AI agent interactions, multi-agent simulations, or large-scale data analytics pipelines. · Write clean, efficient, and well-documented code in Python, Java, Go, JavaScript, C# for Agentic Integrations to Applications (SaaS and PaaS) · Implement highly efficient algorithms and data structures to maximize throughput and minimize latency for complex computational tasks. · Write Function calls for API based Integrations for Agentic systems · Develop tools and frameworks that enable faster development and deployment of accelerated AI agents and data analytics solutions. · Collaborate closely with product managers, UX/UI designers, and other engineers to understand requirements and translate them into technical specifications and elegant solutions. · Participate in code reviews, providing constructive feedback and ensuring adherence to best practices and coding standards. · Identify and resolve performance, scalability, and other production issues. · Participate actively in architectural discussions, guiding the technical direction for our acceleration platforms. · Stay up to date with emerging technologies and industry trends, applying them where appropriate to improve our systems.Mandatory skill sets: What You'll Bring:· Bachelor’s or master’s degree in computer science, Software Engineering, or a related technical field (or equivalent practical experience). · Minimum 5 years of professional experience in software development, with a strong portfolio of successfully delivered projects. · Proficiency in one or more of the following programming languages e.g., Python, Java, Go, JavaScript (Node.js/React/Angular/Vue), C#. · Solid understanding of data structures, algorithms, and object-oriented design principles. · Experience with cloud platforms like AWS, Azure, GCP; distributed systems; microservices architecture; RESTful APIs; databases - SQL/NoSQL; containerization - Docker/Kubernetes; CI/CD pipelines. · Familiarity with agile development methodologies (Scrum, Kanban). · Strong problem-solving skills, with the ability to analyze complex issues and propose effective solutions. · Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team environment. · A strong passion for technology, continuous learning, and building high-quality software.Preferred skill sets:· Experience &amp; certifications with Google cloud stack. · Experience with front-end libraries, machine learning frameworks, big data tools, spark, snowflake, Git. · Contributions to open-source projects. · Familiarity with security best practices in software development.Years of experience required:5+ YearsEducation qualification:BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Engineering, Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSoftware EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Software Engineer 1

Lead Insights AnalystTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.The Lead Insights Analyst for the Cloud Success Insights Team is a crucial role responsible for delivering data-driven actionable insights and strategic recommendations that empower Cloud Leaders to drive various programs within the Customer Success. This role will involve providing dedicated analytics support to a specific cloud team, and to do so, collaborating with different teams within CSG will be needed. The Senior/Lead Analyst should demonstrate versatility in tackling a diverse range of problem statements, encompassing in-depth analysis, strategic planning, forecasting, data visualization, and effective presentation, all while maintaining a proactive attitude towards embracing new challenges. This is an individual contributor role, which has high visibility and delivers business impact. The role requires timely responses to questions raised by senior leaders. This sometimes requires a flexible working approach, working outside standard hours. Must have<ul><li>Degree or equivalent proven experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)</li><li>A bachelors or Masters in Computer Science or related field with 8+ years (for Lead) experience, preferably in a data analytics team.</li><li>Data Preparation : Extensive experience in writing complex database queries in SQL.</li><li>Visualization : Expert in one or more popular viz tools (Tableau, Power BI etc)</li><li>Data Analysis and Interpretation : A curious mindset that enables to dive deep &amp; fetch insights.</li><li>Storytelling : Excellent skill of preparing Exec level stories.</li><li>Presentation : Demonstrated experience of creating &amp; presenting data/dashboards/analysis to the leadership team &amp; ability to explain complex analytical concepts to executives.</li><li>Ability to quickly learn new tools within Analytics space.</li><li>An awesome team-player and someone who junior analysts can look up to.</li><li>Ownership : Assume responsibility for assigned projects from start to finish.</li><li>Stakeholder Management</li></ul>Nice to have skills<ul><li>Direct experience (8+ yrs) in data-engineering.</li><li>Tableau certification like desktop specialist/professional is a big plus.</li><li>Experience working with cloud data sources.</li><li>Hands-on experience in advanced analytics, including predictive modelling, machine learning using python/R.</li><li>Salesforce Product Certification</li></ul>Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" rel="noopener noreferrer" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal" rel="noopener noreferrer" target="_blank">Know your rights: workplace discrimination is illegal.</a> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.<h4>Experience Level</h4>Senior Level

Salesforce.com India Pvt Ltd

Pre Sales Analyst

Lead Data & Platform Engineer (AWS Native Services, DataBricks, Hadoop, Python)Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.Title and SummaryLead Data &amp; Platform Engineer (AWS Native Services, DataBricks, Hadoop, Python)Overview: We are looking for a self-motivated and enthusiastic Lead Cloud Data / Platform Engineer to join the Data Platforms and Engineering Services team. This individual will be responsible to work with our Cloud Architects, Cloud infrastructure, Information Security, Technical Product Managers, Senior Stakeholders and other Cloud data / platform engineers to ensure we are delivering the right solutions for our customers. Data Platform provides real time streaming, batch data processing, pipeline orchestration, data lake management, data cataloging capabilities and deliver data on time with quality, supported by metrics. As a key player of our data platform team, you will have opportunity to use your expertise to work in solving big data problems, design, coding and analytical skills to build core capabilities, frameworks and data pipelines. Role: •	Design, develop and implement large scale, high-volume, high-performance, highly available, scalable data platform infrastructure and pipelines for the Lake house data platforms in AWS cloud. •	Work closely with senior data / platform engineers and data architects using Agile methodology, take ownership of the assigned tasks and deliver the results in timely manner. •	Assist in troubleshooting and resolving issues with data platform /pipelines, AWS services ensuring they are running smoothly and efficiently. •	Stay up to date with emerging technologies and trends in the data engineering and cloud space and willingness to learn and use new tools and platforms that can improve efficiency. All About You: •	Overall 9-13 years of career experience into Software Engineering or a related field •	Architect and implement robust data pipelines across large-scale distributed systems using AWS native services. •	Lead the development and maintenance of data platforms leveraging services such as: --Data &amp; Analytics: AWS Glue, EMR, MSK, Athena, Redshift --Data Governance: Lake Formation, Glue Catalog --Storage: S3 (General Purpose and S3 Tables) --Monitoring: CloudWatch, CloudTrail --Work hands-on with open table formats including Apache Iceberg and Parquet. •	Design and deploy infrastructure using CloudFormation and Infrastructure as Code (IaC) principles. •	Develop scalable solutions using at least one programming language (e.g., Python, Java). •	Experience in data processing platforms on cloud such as Data bricks, Apache Spark, and Snowflake to handle large-scale data processing and distributed computing across massive datasets. •	Collaborate with cross-functional teams to ensure data integrity, governance, and accessibility. •	Utilize data modeling techniques for both SQL and NoSQL systems and apply ETL and data warehousing best practices. •	Contribute to machine learning workflows and analytics using tools like Amazon SageMaker and MWA. •	Proven experience in building and managing data platforms in cloud environments, especially AWS. •	Experience and knowledge of Bit Bucket, Rally, and Jenkins a plus •	Supporting all tiers of applications deployed in the cloud, configuring network, cloud native services, infrastructure, and privileges for development teams (AWS Accounts, IAM Users and Roles, VPCs, S3 buckets, cloud native services) and Knowledge of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security. •	Knowledge with Hadoop (CDP), relational databases and SQL, ETL development, data validation and testing, Data Analysis, and experience with Hadoop technologies such as Hive, Impala, Sqoop, Hue, Spark, Python of Hadoop Platform is a plus. •	Strong communication and collaboration skills, with the ability to work effectively with data professionals and business stakeholders. •	Detail-oriented with the ability to manage multiple priorities in a fast-paced, deadline-driven environment. •	Bachelor’s degree or higher in Computer Science, Information Technology, or a related field.Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard’s security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.</li></ul> <h4>Experience Level</h4>Senior Level

Mastercard India Services Pvt Ltd

Assistant Manager Digital Marketing

Quant Analytics Manager - Customer Experience AnalyticsJoin us for an exciting opportunity to shape customer experience through advanced analytics and innovative solutions.As a Quant Analytics Manager in Customer Experience Analytics within the Decision Sciences team, you will lead efforts to transform data into actionable insights that drive business value and enhance client satisfaction. You will collaborate across teams to deliver impactful solutions and foster a culture of innovation and growth.Job responsibilities<ul><li>Lead partnerships with Operations stakeholders and Product groups to drive data-informed strategies</li><li>Build business cases, design tests, and analyze pilot program performance to inform customer strategies</li><li>Analyze customer interactions across channels to identify journeys and friction points</li><li>Develop and report on Operations performance metrics and KPIs using advanced analytical tools</li><li>Create self-serve tools to empower decision-makers with real-time information</li><li>Mentor and coach a team of data professionals, driving consistent high performance</li></ul>Required qualifications, capabilities and skills<ul><li>Bachelor’s or Master’s degree in a quantitative field and twelve years of applied data analytics experience</li><li>Hands-on experience in system design, data analysis, and operational stability</li><li>Proficient in at least four data analytics tools or technologies (SQL, Python, SAS, Tableau, Alteryx)</li><li>Strong database skills and ability to write, optimize, and tune complex SQL scripts</li><li>Demonstrated ability to lead and mentor teams, manage projects end-to-end, and deliver under strict timelines</li><li>Excellent communication skills to influence and collaborate with senior leaders and stakeholders</li><li>Solid understanding of IT processes, databases, and analytics data hub development</li></ul>Preferred qualifications, capabilities and skills<ul><li>Experience in financial services or consulting supporting financial firms</li><li>Familiarity with big data disciplines, AWS, and Agile methodologies</li><li>Hands-on experience with sourcing, transforming, and analyzing structured and unstructured data</li><li>Growth mindset and passion for continuous learning and sharing industry knowledge</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>Mid Level

JP Morgan Services India Pvt Ltd

Analyst

Logistics Data Transformation DeveloperExperience: 5 8 Years Work Location: Bangalore, India Reports to: Line Manager<h4>Your Role</h4>As a Logistics Data Transformation Developer, you will work on a wide variety of Business Transformation projects. The role would entail:<ul><li>Understanding the business transformation needs and its impact on the SAP ERP data.</li><li>Participating in customer workshops, gathering and analyzing data requirements.</li><li>Defining the data rules and implementation.</li><li>Active engagement in the entire data transformation/migration cycle.</li><li>Ownership of the module aligned to.</li><li>Communication and collaboration with internal and external project teams.</li></ul>Your Profile Ideally in-depth knowledge, and skills in the following:<ul><li>5 to 8+ years of experience in implementation / support projects/</li><li>migration projects in SAP and ability to write basic to medium level ABAP programs.</li><li>Good to have experience in SAP data migration projects.</li><li>Minimum 2+ years of experience working in SAP Logistics (SD/MM/PP &amp; QM) any of these modules</li><li>Good understanding of the master- and transactional data from functional/process perspective.</li><li>Ability to debug the ABAP code, troubleshoot and fix basic code.</li><li>Knowledge of cross functional integration points.</li><li>Very good analytical and communication skills.</li><li>A self-starter and a team player</li></ul>

Pradeepit Global Consulting Private Limited

BI Developer

Celonis ConsultantJob Description · Data Modeling: Develop, maintain, and optimize Celonis data models, ensuring data consistency and performance forprocess mining. Data modeling with Hana Data base and Vertica SQL is expected.· Data Integration: Extract, transform, and load (ETL) data from various sources (e.g., ERP, CRM, databases) into Celonis.· Process Mining: Collaborate with stakeholders to identify critical business processes and translate them into Celonis datamodels for analysis.· Dashboard Development: Build and maintain dashboards in Celonis to provide actionable insights for stakeholders.· Model Development: Create and optimize process models in OCPM to enable process visualization and diagnostics.· Optimization: Enhance performance of data models and analyses through query optimization and efficient data handling.· Overall experience in Celonis : Minimum 5+ years of experience working with Celonis.· Proficiency in SQL and ETL processes.﻿Technical Skills :1. Celonis      5+ Years Mandatory2.ETL            5+ Years Mandatory3.SQL            ﻿5+ Years Mandatory<h4>Experience Level</h4>Senior Level

Consultant

Data Science Manager<h4>Company Description</h4>The <a href="https://www.linkedin.com/feed/hashtag/?keywords=nielseniq&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6864201440760623104">#NielsenIQ</a> technology teams are working on building a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on <a href="https://www.linkedin.com/feed/hashtag/?keywords=nielseniq&amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6864201440760623104">#NielsenIQ</a> data and insights to innovate and grow. We are looking for an experienced Microsoft.Net expert to be part of our Technology hub in India to build, maintain and transform our factory systems, which are critical to the business<h4>Job Description</h4>Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption. We are looking for a passionate and talented Data Science Manager to join our growing team. In this role, you will have the chance to roll up your sleeves and apply data science methods and analytics to sustain our growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving.As a Data Science Manager you will have following key accountabilities:     <ul><li>Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning.  </li></ul><ul><li>Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. </li></ul><ul><li>Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders.  </li></ul><ul><li>Active Contribution: Drive ML/AI solutions throughout the full life cycle, from brainstorming and conceptual design to implementation, productization, and maintenance. Ensure timely delivery and high-quality outcomes. </li></ul><ul><li>Innovation and Improvement: Continuously improve methods and tools. Foster knowledge exchange within the team and the broader organization. Represent our Data Science expertise at conferences, workshops, and industry events. </li></ul><ul><li>Cross-functional Collaboration: Collaborate with teams across Tech, Operations, Commercial, and Product to understand domain-specific requirements and deliver impactful data-driven solutions. </li></ul>Qualificationsow you know what a Data Scientist does. What skills, qualifications &amp; experience do you need for this job?<h4>Qualifications</h4>Key Qualifications <ul><li>Educational Background: PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with 8+ years of experience as a Data Scientist. </li></ul><ul><li>Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. </li></ul><ul><li>Communication Skills:  </li></ul><ul><li>Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. </li></ul><ul><li>Strong problem-solving skills and an independent working style.</li><li>Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. </li><li>Solid in analytical programming languages such as Python or R, along with their respective ecosystems. </li></ul><ul><li>Hands-on experience implementing these models in production systems. </li></ul><ul><li>Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. </li></ul>Preferred qualifications <ul><li>Experience in the Media industry </li></ul><ul><li>Experience working with cloud-based data services (AWS, Azure, or GCP) </li></ul><ul><li>Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus  </li></ul><h4>Additional Information</h4><ul><li>Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. </li><li>Recharge and revitalize with help of wellness plans made for you and your family. </li><li>Plan your future with financial wellness tools. </li><li>Stay relevant and upskill yourself with career development opportunities</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>Mid Level

NielsenIQ

Data Scientist

Data Owner AssociateAs an Associate in the Data Owner team, you will be expected to support processes and procedures that identify, monitor, and mitigate data risks throughout the data life cycle, in compliance with Firmwide policies and standards. Your role involves collaborating with technology and business teams to ensure that data is clearly documented, of good quality and well-protected. By supporting data governance and integration efforts, you will contribute to the organization's ability to make informed, data-driven decisions. This position offers a valuable opportunity to develop your skills and knowledge in a dynamic environment, playing a key role in the company's data strategy initiatives.l Execute operational procedures for developing and delivering data to support business operations, strategic objectives, and advanced analyticsl Assist in capturing and documenting metadata and classifiers for critical data, ensuring understanding of impacts on data providers and consumersl Collaborate with technology and business resources to ensure data sourcing, content and quality meet established requirementsl Participate in data governance and risk management tasks, contributing to data integration efforts and maintaining data publishing standardsl Support the execution of processes to identify, monitor, and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and qualityl Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reportingl Investigate and document potential data quality issues, escalating for remediation as neededl Engage in professional development opportunities to enhance skills and knowledge, supporting overall data strategy initiatives


  


Required Qualifications: l Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related fieldl 5+ years of overall experience, 2+ years of experience in data mgmt, data governance, risk management / analytics or a related fieldl Strong analytical and problem-solving skills, with attention to detaill Ability to work collaboratively with technology and business teamsl Good communication skills, with the ability to document and convey data-related information clearlyl Basic understanding of data management principles and data lifecycle managementl Proficiency in using data management tools and software, or a demonstrated ability to quickly learn new technologiesJPMorganChase, 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>Mid Level

Senior Data Processing Officer

Senior ML Engineer<h4>Company Description</h4>#LI-hybridThe very rapid development of e-commerce today gives access to thousands of information. These data are difficult to exploit by companies, which then have difficulty choosing the right levers of action and measuring their impact.This is where NIQ for Digital Commerce comes in! Every day, we collect more than 60 billion pieces of information, process them and use them in innovative monitoring and action tools for professionals in the sector. Our goal: to give our customers and consumers real-time visibility into the market. Today : NIQ for Digital Commerce is a leading start-up in the ‘Retail Analytics’ sector. In full growth, particularly internationally, we are looking for new collaborators to join our fabulous team! A young but experienced, dynamic and complementary team: a resolutely start-up spirit! Real job and career opportunities A friendly atmosphere and a climate of trust that promotes autonomy and challenge!<h4>Job Description</h4>We are looking for an experienced  Senior Data /ML Engineer  to join our growing Machine Learning team. Your work will entail working on one or more projects at a time with tasks such as: ● Developing ML tools (web services, APIs, etc) ● Preparing data for ML models ● Researching the latest technologies used in ML (time-series, NLP, Image recognition, ...) ● Developing and improving predictive model<h4>Qualifications</h4><ul><li>Proficiency with Python; knowledge of C++ or Golang is a plus</li><li>Experience with ML frameworks such as PyTorch, TensorFlow, or Keras</li><li>Experience deploying and managing ML solutions in cloud environments such as Google Cloud Platform (GCP), AWS, or Azure</li><li>Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow) for production deployment</li><li>Experience with time-series analysis and/or data engineering is a plus</li><li>Comfortable working with Linux, Jupyter, Git, SQL, and NoSQL databases</li><li>Strong experience with Pandas and SQL (including performance optimization and query tuning)</li><li>Skilled in writing and maintaining Dockerfiles for reproducible builds</li><li>Professional proficiency in English</li></ul> <h4>Additional Information</h4>Hybrid mode : 1per week at Chennai or Pune Office 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

Engineering Team Lead

Engineer (Python, NodeJS & TypeScript)<h4>Company Description</h4>NIQ 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.com. <h4>Job Description</h4>As a Mid Engineer, you will collaborate with other Engineers, Development teams &amp; Scrum Masters to realize critical business goals and be part of a team of smart, highly skilled technologists who are passionate about learning, data mining and prototyping cutting-edge technologies.We develop mostly in Python and what we do is to help our Research team to put in production ML models, so we work mostly in building training pipelines (mostly in AzureML), integrating inference codes, and providing tools and patterns for enhancing our MLOps cycle. Responsibilities: <ul><li>Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time.</li><li>Develop the pipelines for training and deployment of ML models.</li><li>Co-ordinate with the leads to perform feasibility studies/analysis with a critical point of view and support &amp; maintain (troubleshoot issues with data and applications).</li><li>Co-ordinating with other engineers fostering good engineering practices within the team.</li><li>Working with data scientists and a variety of end-users (across diverse cultures) to ensure technical compatibility and user satisfaction.</li><li>Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.</li><li>Use distributed computing to validate and process large volumes of data to deliver insights.</li><li>Evaluate technologies we can leverage, including open-source frameworks, libraries, and tools.</li><li>Develop technical documentation for applications, including sequence diagrams, flowcharts and manuals.</li></ul><h4>Qualifications</h4><ul><li>3-6 years of applicable software development experience, including Python &amp; RESTful APIs.</li><li>Strong knowledge of data structures, algorithms and designing for performance, scalability and availability.</li><li>Strong knowledge of Pandas, NumPy, Flask &amp; Sqlalchemy python libraries. </li><li>Ability to design and develop relational databases which include writing efficient and well performing SQL, such as MySQL and PostgreSQL.</li><li>Strong knowledge of Node.js and TypeScript.</li><li>Ability to create Rest APIs and experience in Microservices architecture.</li><li>Orchestration and messaging frameworks: Airflow, Jenkins, Messaging queue frameworks (Kafka).</li><li>Experience in Azure or any cloud computing technology.</li><li>Experience and knowledge in Linux &amp; container orchestrators (Kubernetes, Docker Swarm.)</li><li>Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.</li><li>Experience in Agile methodologies development (Scrum/Kanban).</li><li>Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business.</li><li>Minimum Bachelor’s degree in Computer Science, Computer Engineering or related field</li></ul><h4>Additional Information</h4>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

Engineer

IN_Associate_Azure Fabric _D&A _Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:· Requirement gathering and analysis · Experience with different databases like Synapse, SQL DB, Snowflake etc. · Design and implement data pipelines using Microsoft Fabric &amp; Databricks · Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage · Implement data security and governance measures · Monitor and optimize data pipelines for performance and efficiency · Troubleshoot and resolve data engineering issues · Provide optimized solution for any problem related to data engineering · Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc. · Strong knowledge on Databricks, Delta tablesMandatory skill sets:· 3–5 years of experience in Data Engineering or related roles. · Hands-on experience in Microsoft Fabric · Hands-on experience in Azure Databricks · Proficiency in PySpark for data processing and scripting. · Strong command over Python &amp; SQL – writing complex queries, performance tuning, etc. · Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas). · Understanding CI/CD practices in a data engineering context. · Excellent problem-solving and communication skills.Preferred skill sets:· Experienced in Power BI, or Azure DevOps.· Knowledge of Scala or other distributed processing frameworks. · Exposure to BI tools like Power BI, Tableau, or Looker. · Familiarity with data security and compliance in the cloud.Years of experience required:2 – 4 yearsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsAzure Service FabricOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

Senior Developer

Manager - Analytics - Customer Insights (L09)Job Description:Role Title: Manager, Analytics – Customer Insights (L9)Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.  <ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.  </li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.  </li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles</li></ul>Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growthRole Summary/Purpose: Manager, Analytics – Customer Insights (Individual Contributor) will be part of Decision Management – SYF Growth in India Analytics Hub (IAH), rolling up to Synchrony India. The candidate will be responsible to deliver high-visibility and high-impact projects, working in close collaboration with IAH and US Analytics teams to help solve key business problems with solutions that are powered by data and analytics. This role will require to access customer behavior and identify opportunities to improve customer contact experience. This will involve customer behavioral analytics, development and maintenance of ongoing reports, ad hoc data retrieval, and analysis of business processes related to enhancing operational performance.Key Responsibilities: <ul><li>Work in Agile sprints and active participation in analytics projects assigned from scoping to delivery and solve business problems through basic to advanced analytics/data science streams, as applicable</li><li>Work with cross functional groups to combine Operations data with other data sources and complete a full root-cause-analysis, analyze operations experience, including but not limited to, customer experience, key contact drivers and servicing performance while adhering to all analytics standards</li><li>Work hands-on to derive insights from data and/or automate critical processes using analytical techniques, tools, software and provide actionable recommendations to enable effective decision making and reduce cycle time, as appropriate</li><li>Deliver projects, adhering to expected timelines, accuracy &amp; compliance with meticulous project management and mentor and support new team members on analytical, technical and functional subject matters</li><li>Contribute to internal initiatives, perform other duties and/or special projects, as assigned</li></ul>Required Skills/Knowledge: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of analytics experience in Financial Services and Banking domain</li><li>Thorough hands-on experience in SQL/SAS/Python or any other programming language experience with an ability to leverage advanced algorithms for building solutions, insight generation and process automation</li><li>Strong written/oral communication skills</li><li>Good understanding of USA credit business market</li><li>Able to work remotely, with minimal direction</li><li>Able to present findings to all levels of management</li><li>Strong Team Player in cross-functional environment</li><li>Ability to generate innovative ideas and work on them which would have significant business impact</li><li>Advanced working knowledge in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills</li></ul>Desired Skills/Knowledge: <ul><li>2+ years of analytics experience in Financial Services and Banking domain</li><li>Ability to effectively manage tasks and projects with competing priorities</li><li>Think strategically and ability to identify business opportunities</li><li>Demonstrated ability to manage complexity and multiple initiatives, ability to perform ad-hoc analysis, glean and form business insights under aggressive timelines</li><li>Ability to synthesize/analyze diverse information, develop and recommend strategies</li></ul>Eligibility Criteria: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of analytics experience in Financial Services and Banking domain</li><li>Thorough hands-on experience in SQL/SAS/Python or any other programming language experience with an ability to leverage advanced algorithms for building solutions, insight generation and process automation</li></ul>Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (Formal/Final Formal, LPP)</li><li>L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible</li><li>L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible</li><li>L4+ Employees can apply Grade/Level: 09</li></ul>Job Family Group:Data Analytics<h4>Experience Level</h4>Mid Level

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