Data Analyst

• Analyze, transform, and validate large financial and tax datasets to support business and compliance requirements.
• Develop and maintain data transformation and ETL workflows using Alteryx , Power Query , and other automation tools.
• Design and build interactive dashboards and visualizations using Power BI and/or Tableau .
• Develop automation solutions using Excel VBA , Power Platform, and other digital tools to improve efficiency and reduce manual effort.
• Partner with tax and finance professionals to identify opportunities for process improvement and automation.
• Extract, clean, and manipulate data from various sources, including databases and enterprise systems.
• Support data-driven decision-making through insightful reporting and analytics.
• Research and evaluate emerging technologies, tools, and applications to drive innovation within the business.
• Present analytical findings, recommendations, and automation solutions to stakeholders and project teams.
• Ensure adherence to PwC quality standards, governance requirements, and professional conduct expectations.
• Collaborate effectively across global teams to deliver high-quality client outcomes.

Senior Associate – RIC, Financial Data Analytics & Automation

• Understand the request of the business
• Extract, transform, validate and visualize large data
• Address project delivery enabling Synchrony’s growth and profitability
• Leverage Data and Analytical tools to create and track metrics
• Participate and execute on strategic ideas in line with business objectives and project requirements
• Adherence to timely delivery, accuracy and documentation in line with Audit Procedures

Analyst, Consumer & Commercial Analytics

• Managing site and user access across clinical data management systems such as EDC and eCOA platforms.
• Creating, maintaining, and deactivating user accounts for internal and external stakeholders.
• Performing configuration activities within user management tools and Veeva systems.
• Managing rights, roles, study setup activities, and study closure/decommissioning processes.
• Supporting incident management and resolving user access and system-related queries.
• Ensuring documentation is maintained in accordance with company standards, SOPs, GCP, GDP, and GxP requirements.
• Collaborating with cross-functional and global teams to meet project timelines and operational goals.
• Contributing to process improvements and sharing best practices across teams and functions.

Senior Associate Clinical Data Insights Analyst

• Analyze, profile and transform data from multiple source systems to support business and technology requirements.
• Develop SQL, PySpark and Alteryx-based data workflows for data extraction, transformation, validation and reconciliation.
• Work with business, data model and technology teams to define data mappings, critical data elements and reusable data assets.
• Perform data quality checks, schema analysis, data preparation and issue investigation to ensure data consistency and reliability.
• Prepare clear documentation including data mapping documents, technical designs, business requirements and process documentation.

Data Analyst, Alteryx

• Should have worked on Jira tickets creation/maintained/closed and update the tickets with delivery updates aligned to the delivery sprint cadence.
• Help to ensure L1 & L2 milestones are maintained, and statuses reflected in dashboards and monthly reporting
• Lead a highly skilled, multi-disciplinary team of consisting of data, analytics, technology and delivery professionals to deliver advanced data and analytics solutions
• Act as Lead DA and Pod Lead for teams to deliver business use cases on a global scale and deploying locally.
• Coordinate the deployment of global initiatives into markets.
• Working closely with data, analytics and technology teams across the business, shape solution designs which meets business needs as well as aligning to the broader strategic Data & Analytics objectives
• Work directly with various stakeholders across multiple geographies, such as technical discipline leads, data scientists, data engineers and data analysts to produce accurate delivery estimates and manage the transition from analysis to successful delivery.
• Define Agile project working approach and enforce all team members to follow the same methodology.
• Ensure awareness, involvement and support from key stakeholders by building strong pod teams and maintaining robust communications on the project status throughout its lifecycle.
• Ensure risks and issues are identified, managed closely and remove project blockers from the team.
• Make key decisions to ensure the successful implementation of all initiatives.
• Supporting the delivery production line such as definition, implementation and testing and ensuring deliverables meet business requirements and are fit for purpose.
• Drive all stakeholders to deliver on time and to the required quality standards.
• Ensures cross-team delivery plans exist which represent an achievable commitment based on the capacity of available resource and consideration of internal and external dependencies.

Lead Data Analyst

• Ability to convert business problem to an analytical problem and then finding pertinent solutions
• Overall business understanding of BFSI domain
• Providing high-quality analysis and recommendations to business problems.
• Efficient project management and delivery
• Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
• Focus on driving efficiency gains and enhancement of processes.
• Use of data to improve customer outcomes through the provision of insight and challenge
• Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions.
• Mapping of business entities to technical attributes with the logic for transformation defined clearly.
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Working with the team leads closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team.
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Working with other teams leads to getting the architecture/design reviewed.
• Keep all the stakeholders updated about the project, task status, risks, and issues if any.

Senior Data Analyst

• 4-6 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
• SQL, Pyspark, Python with Banking Domain knowledge - Credit & Lending.
• Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
• Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
• Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
• Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
• Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
• Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
• Understanding of ER Diagram and Data Modelling concepts
• Exposure to Data quality validation
• Exposure to Data Management, Data Cleaning and Data Preparation
• Exposure to Data Schema analysis.
• Exposure to working in Agile framework.
• Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous

• Recruit, manage and lead high performing team
• Own and develop advanced customer reporting suite and actionable insights
• Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders’ decision-making
• Own the relationships with our Brands stakeholders and cross-functional Analytics teams
• Influence partners and senior leaders through communicating across various levels of the organization

Senior Manager, Customer Analytics

• Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
• Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
• Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
• Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
• Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.
• Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.

Data Science Analyst II

• Design, build, and maintain interactive dashboards in Power BI (expert level) and Plotly Python (intermediate level) to track key business metrics.
• Extract data from Google cloud Platform , optimize, and automate data preparation workflows using Alteryx or Power Query to clean and transform complex datasets.
• Translate complex data insights into clear, visually compelling, and professional slide decks using MS PowerPoint to present findings to leadership and stakeholders.
• Perform advanced data manipulation, financial/operational modeling, and ad-hoc analysis using MS Excel.
• Write basic SQL queries to extract data from relational databases and utilize foundational Python scripts to automate repetitive reporting tasks or perform basic data cleaning.
• Be Quick and Agile to learn new IT tools/skills as required for the task completion.
• Work closely with business partners to gather reporting requirements and deliver actionable, data-driven recommendations.

Data Reporting Analyst

• Act as liaison between the technical and business teams.
• Should be able to connect with Client SME & understand Functionality, Data
• Should be able to do Data Profiling - Understand the quality of Data and critical Data elements- How to standardize Reference, and master data across systems
• Work Data mapping, Data lineage docs, data models, and design docs that allow stakeholders to understand data mappings & transformations

Business Data Analyst

• Handle SQL data analysis and reporting
• Collaborate with client teams for problem solving
• Design dashboards and present findings

Data Analyst, SQL

• Develop and maintain patient-based, analog, and sales-based forecast models
• Generate forecast assumptions through analysis
• Build and automate forecasting tools and dashboards
• Conduct primary and secondary research to validate assumptions and assess market opportunities
• Communicate forecast outputs and strategic implications to stakeholders

Data Analyst – MS Excel

• Create innovative solutions for our clients
• Drive business transformation by optimizing costs
• Collaborate with cross-functional teams
• Enhance stakeholder experiences

Senior Data Analyst – SQL

• Develop Machine Learning Models: End-to-end development, training, and deployment of production-grade predictive and prescriptive models (e.g., propensity modeling, customer segmentation, demand forecasting).
• Deliver Advanced Analytics: Help clients maximize the efficiency of their strategic initiatives by building advanced analytics models that measure campaign performance, predict customer behavior, and maximize long-term ROI.
• Data Storytelling & Visualization: Synthesize complex algorithmic outcomes and machine learning metrics into compelling, executive-ready presentations and dashboards that clearly articulate business value and ROI.
• Develop and Maintain Analytics Workflows: Analyze raw client data and build optimized analytics datasets within cloud environments to support modeling and reporting.
• Lead workshops with external clients to uncover business objectives, map out data landscapes, and translate vague business problems into structured data science methodologies.
• Create solutions and design documentation for client data science architectures and ML pipelines.
• Work on projects independently as well as being part of a large team across multiple client engagements.
• Crosstrain Junior Data Scientists/Analysts or other team members with your area of expertise, providing technical leadership and code reviews.
• Further develop skills both on the job and through formal learning channels to stay ahead of AI/ML trends.
• Assist in pre-sales activities by scoping new client opportunities and providing accurate work/effort estimates.

Senior Consultant – Data Science, Analytics and Insights

• Performs acquisition, processing, integration, and cleaning of complex data from multiple sources
• Builds and refines data dashboards and reports
• Performs data investigations and analysis
• Delivers business intelligence projects
• Enhances internal relationships by facilitating complex data insights

Principal Specialist, Business Analytics

• Data annotation across multiple formats (documents, images, video, audio) following project guidelines.
• Identify and label document elements (e.g., names, photos, signatures, holograms) and flag potential tampering.
• Annotate manipulated regions in deepfake and image tamper datasets.
• Tag liveness indicators and spoof artifacts in PAD datasets.
• Draw bounding boxes, facial landmarks, and expression labels for face recognition tasks.
• Apply time-based labels in video for frame-level PAD/deepfake detection.
• Document edge cases and suggest improvements to annotation guidelines.
• Review peer annotations, check consistency, and ensure quality standards.
• Collaborate with ML engineers and data scientists to improve dataset quality and tools.

Data Analyst I

• Turbine data preparation and verification for the purpose of performance reporting
• Creation of monthly performance reports for Vestas customers worldwide
• Verification of turbine performance data correctness
• Preparation of precise calculations of contractual indicators
• Support internal departments and customers with special data analyses as a response to ad hoc needs and expectations
• Flexibility to work in 24/7 shifts

• Administer and maintain TIBCO Spotfire environments
• Manage Spotfire installations, upgrades, patches, and migrations
• Configure and maintain secure connections between Spotfire and enterprise data sources
• Implement and manage Spotfire Automation Services for report scheduling and distribution
• Monitor platform health, performance, and availability
• Troubleshoot system, application, and data connectivity issues
• Collaborate with business users, data analysts, and development teams

Senior Data Analyst – TIBCO

• Conduct in-depth analysis of spend data to identify trends, patterns, and anomalies across categories and suppliers.
• Utilize statistical techniques and data visualization tools to transform complex datasets into clear, meaningful insights for stakeholders.
• Leverage tools such as Python, R, VBA, and advanced Excel to build scalable analytical workflows and automate repetitive data processing tasks.
• Apply machine learning techniques to enhance spend classification, outlier detection, and predictive analytics capabilities.
• Increase automation across key steps of the spend analysis lifecycle to improve speed, accuracy, and consistency of outputs.
• Deliver robust, audit-ready spend analysis that supports strategic sourcing decisions at both global and regional levels.
• Build and validate detailed should-cost models for Build to Print categories including plastics, Sheet Metal, pressure die cast (PDC) components, machining, leveraging knowledge of raw materials, manufacturing processes, and cost drivers.
• Maintain and continuously refine cost models using aPriori or equivalent tools to reflect current market dynamics and input cost movements.
• Drive cost reduction initiatives through value engineering, design-to-cost analysis, and supplier negotiations.
• Monitor global market trends, raw material indices, supplier landscapes, and technological developments in the HVAC and related industries.
• Leverage market intelligence to inform sourcing strategies, risk mitigation plans, and cost management decisions.
• Prepare structured negotiation packs for category managers, including should-cost breakdowns, market benchmarks, supplier scorecards, and price-volume analyses.
• Drive or support the execution of initiatives generated from spend analytics, converting insights into real, measurable savings.

Data Analyst jobs in India

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Senior Associate – RIC, Financial Data Analytics & Automation

Analyst, Consumer & Commercial Analytics

Senior Associate Clinical Data Insights Analyst

Data Analyst, Alteryx

Lead Data Analyst

Senior Data Analyst

Data Analyst

Senior Manager, Customer Analytics

Data Science Analyst II

Data Reporting Analyst

Business Data Analyst

Data Analyst, SQL

Data Analyst – MS Excel

Senior Data Analyst – SQL

Senior Consultant – Data Science, Analytics and Insights

Principal Specialist, Business Analytics

Data Analyst I

Data Reporting Analyst

Senior Data Analyst – TIBCO

Spend Analytics Specialist