Data Analyst

• Define and execute the vision, strategy, and roadmap for enterprise reporting and analytics platforms
• Lead delivery of executive dashboards, scorecards, and performance reporting across business functions
• Oversee enterprise reporting systems supporting financial, operational, and strategic processes
• Drive automation and simplification of reporting processes
• Establish and maintain enterprise data governance standards, policies, and operating models
• Ensure consistent KPI definitions and metric alignment across Finance, Sales, Marketing, Supply Chain, and Services
• Lead metadata governance and data quality initiatives
• Facilitate cross-functional alignment on business metrics and reporting standards
• Lead modernization initiatives involving Azure, Databricks, Power BI, AI, and cloud-based analytics platforms
• Develop business cases and transformation roadmaps for legacy reporting platform migrations
• Partner with architecture and engineering teams on scalable data platform strategies
• Evaluate emerging technologies and AI capabilities for reporting, forecasting, and decision support
• Direct solutions for orders and shipments, billing and revenue, General Ledger, P&L and balance sheet, procurement and spend, workforce and headcount reporting, and financial planning and forecasting
• Ensure reporting integrity, auditability, and compliance with financial policies
• Advise senior business and finance leaders on analytics
• Translate business requirements into scalable reporting and data solutions
• Influence executive stakeholders through data-driven recommendations and strategic insights
• Build partnerships across global business organizations
• Lead and develop global analytics, reporting, and data engineering teams
• Foster innovation, continuous improvement, and customer-centric delivery
• Establish performance objectives, development plans, and succession strategies
• Drive collaboration across geographically distributed teams and business functions

Finance Director – Reporting, Data Analytics

• Own and administer the Microsoft Fabric platform, including OneLake, Lakehouse, Warehouse, and Dataflow Gen2, for FP&A and operational analytics
• Architect ETL/ELT pipelines integrating ERP, HR/payroll, and CRM systems through REST APIs, CData connectors, and On-Premises Data Gateway
• Manage automated multi-daily data refreshes with monitoring, alerting, and Teams-based notifications
• Build enterprise semantic models with RLS, standardized KPIs, and Time Intelligence calculations
• Develop self-service Power BI dashboards for Revenue, GP, COS, forecasting, budget versus actuals, and WoW/YoY variance
• Partner with Finance Business Partners to automate forecast submissions, including VBA-enabled Excel, and streamline month-end close
• Ensure data governance, quality, and reconciliation across financial reporting, including GL and Trial Balance
• Optimize SQL, data models, and reports for performance at scale
• Provide training and support to drive self-service BI adoption
• Reduce manual month-end reporting cycles through automation
• Maintain reliable, low-downtime automated data pipelines
• Increase self-service Power BI adoption among Finance and business stakeholders
• Sustain strong data governance and reconciliation standards

Senior Finance Data Analyst

• Develop and deliver timely, accurate MIS and analytical reporting for Fraud Operations, supporting operational and leadership decision-making
• Track and monitor key fraud operational metrics, trends and performance indicators; identify out-of-pattern activity and emerging areas requiring attention
• Source, stage and analyze large datasets and translate findings into actionable insights
• Develop and enhance automated and self-service MIS/reporting capabilities
• Partner with Fraud Operations and support teams to understand business requirements, address information gaps and develop relevant performance indicators
• Independently manage development, validation, implementation and ongoing enhancement of reporting and analytics projects
• Support executive reporting through clear data visualization and effective presentation of insights
• Participate in global initiatives to evaluate processes and identify reporting, process and system improvements
• Collaborate with stakeholders across functions, markets and time zones

Data Analytics Analyst

• Consult with stakeholders to understand their needs and identify suitable data and analytics solutions
• Address business challenges in line with the organisation’s purpose
• Drive the use of advanced analytics to develop business solutions
• Define complex and ambiguous business problems or opportunities supported through advanced analytics
• Design efficient, simple and automated processes
• Lead and coach colleagues to plan and deliver strategic project and scrum outcomes
• Plan and deliver data and analytics resources, expertise and solutions
• Communicate data and analytics opportunities clearly to business stakeholders
• Adopt and embed new tools, technologies and methodologies for advanced analytics
• Develop stakeholder relationships connecting advanced analytics, data science and data engineering work to business needs
• Create visualisations and compelling insights to influence important decisions

Data Analyst, AVP

• Act as liaison between technical and business teams
• Connect with client SMEs to understand functionality and data
• Perform data profiling to assess data quality and critical data elements
• Standardize reference and master data across systems
• Create data mapping and data lineage documentation
• Develop data models and design documents explaining data mappings and transformations

Business Data Analyst

• Deliver data-driven insights that inform talent strategies, workforce planning, and organizational decision-making
• Support the design, development, and delivery of workforce analytics, dashboards, reports, forecasting models, and predictive insights
• Serve as a Subject Matter Expert for Syneos HR data, workforce metrics, systems, and reporting structures
• Partner with HRBPs, COEs, business leaders, and cross-functional teams to translate business challenges into analytical solutions
• Conduct advanced workforce analysis across the employee lifecycle, including talent acquisition, workforce planning, performance, engagement, retention, turnover, diversity, and organizational effectiveness
• Develop workforce forecasts and scenario-based analyses for hiring strategies, capacity planning, and business decision-making
• Support predictive analytics models related to attrition, hiring demand, workforce trends, and talent outcomes
• Analyze and integrate data from Workday, Power BI, Databricks, survey platforms, Excel, and other enterprise systems
• Build, enhance, automate, and maintain dashboards, scorecards, and recurring reports
• Present actionable insights and recommendations through data storytelling and visualization
• Support Business Development and Proposal activities with workforce analytics, market intelligence, staffing assumptions, and data-driven insights
• Support talent reviews, succession planning, performance management, engagement surveys, compensation analysis, and strategic workforce planning
• Partner with HRIS, IT, and data teams to improve data governance, data quality, metric definitions, and reporting consistency
• Automate manual reporting processes and streamline workflows
• Develop and maintain reporting documentation, metric definitions, data dictionaries, process maps, and user guides
• Promote data literacy and self-service analytics
• Share knowledge, mentor junior analysts, solve complex business problems, and deliver workforce analytics solutions

Senior Workforce Data Analyst

• Partner with EMEA Distribution to deliver data-led insights that improve client engagement and business performance
• Design and maintain scalable dashboards and reporting solutions for strategic and operational decisions
• Identify and implement automation opportunities to improve productivity, data accuracy, and turnaround time
• Support trend analysis, forecasting, and business diagnostics aligned to business priorities
• Collaborate with business stakeholders to understand requirements, prioritize initiatives, and deliver high-impact solutions
• Transform data into actionable insights that enhance commercial decision-making and client engagement

Senior Data Analyst

• Develop and maintain dashboards and decomposition frameworks for portfolio performance tracking
• Use new external and partner data to understand the benefit landscape, enhance benchmarking frameworks, evolve generational behavioral insights, and create compelling narratives on portfolio trends
• Conduct bespoke analysis and deep-dives across portfolios and products to understand refresh impacts, revenue optimization, customer benefit usage and impact, and performance drivers
• Identify growth opportunities and improve customer engagement through new data/data science intelligence
• Design customer segmentation frameworks, targeting optimization, and triggers
• Partner with internal and external teams to manage industry-level data needs across the enterprise and enable competitive benchmarking
• Enhance the value of membership services such as Insurance and Lounge by understanding usage, optimizing capacity, cost, and customer experience, and expanding data and analytics coverage

Senior Analyst – Data Analytics

• Develop/maintain dashboards and decomposition frameworks for portfolio performance tracking
• Use new external and partner data to understand the benefit landscape, enhance benchmarking frameworks, evolve behavioral insights, and create narratives on portfolio trends
• Conduct bespoke analysis and deep-dives across portfolios and products to understand refresh impacts, optimize revenue, measure customer benefit usage and impact, and track performance drivers
• Identify growth opportunities and improve customer engagement through data/data-science intelligence
• Design customer segmentation frameworks, targeting optimization, and triggers
• Partner with internal and external teams to manage industry-level data needs and enable competitive portfolio benchmarking
• Enhance membership services such as Insurance and Lounge by analyzing usage, optimizing capacity, cost, and customer experience, and expanding analytics coverage

• Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/customer satisfaction
• Drive consultative and strategic analytical projects focused on audience growth, industry and Amex Offers-based strategies
• Leverage the power of the closed loop through the American Express network to produce intelligent and relevant insights
• Work with partners located across the globe and across multiple business units
• Translate unstructured requests into analytical strategies and convert available information into actionable insights
• Manage multiple requests with a quick turnaround
• Envision partners’ broader problems and structure possible what-if scenarios
• Provide multiple solutions based on timeline and data availability
• Connect the role’s agenda to enterprise priorities and balance customer, partner, colleague, and shareholder needs
• Challenge the status quo and bring continuous innovation to existing offerings
• Make decisions quickly with integrity
• Deliver digital customer experiences

Data Analyst jobs in India

Finance Director – Reporting, Data Analytics

Senior Finance Data Analyst

Data Analytics Analyst

Data Analyst, AVP

Business Data Analyst

Senior Workforce Data Analyst

Senior Data Analyst

Senior Analyst – Data Analytics

Data Analytics Analyst

Business Analyst – Data Analytics