Top Data & Analytics Jobs

Design and implement scalable, production-quality data solutions using cloud-based big data technologies. Develop and optimize Spark/Hive workflows, write code in Scala/Python/Java, perform performance tuning, participate in SDLC and agile processes, and collaborate to identify and execute improvements.

Lead data and analytics teams to deliver research, measurement frameworks, AI-enabled analytics, media monitoring, audience and competitive analyses, and executive-ready insights. Manage client relationships, budgets, vendor selection, and mentor junior staff while contributing to business development.

Own retail pricing strategy, governance and execution across brands. Use competitor insights, scenario modelling and analytics to optimise margin, lead price changes, maintain pricing frameworks, and partner with cross-functional teams to embed pricing processes.

Build and own HRBP analytics: deliver dashboards, predictive models, ROI and program evaluation, AI-enabled workflows, data storytelling for executives, and scalable reporting systems while partnering with HRBP Operations and stakeholders.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Develop, maintain, and administer enterprise BI reports and data services. Provide 2nd-tier support, troubleshoot incidents, design data pipelines, create visualizations, enforce governance, document solutions, and collaborate with stakeholders and vendors to deliver high-quality reporting solutions.

Business Data Analysts will engage in cross-functional analytics problems, utilizing data to drive business improvements across Marketing, Analytics, and Engineering teams.

Implement Redpoint Customer Engagement Hub and RPDM ETL, data hygiene, and identity resolution. Build data ingestion/automation, troubleshoot client implementations, collaborate with development and project teams, and support product feature identification.

Support data ingestion, cleaning, transformation, and wrangling. Analyze datasets to surface insights, produce basic visualizations, help develop and test data models and pipelines, and maintain project documentation and workflows for analytics solutions.

Design, develop, maintain, and optimize ADABAS database structures and data solutions. Support mainframe data processing (Natural, COBOL, JCL), perform migrations to modern platforms, tune performance, ensure data integrity/security, troubleshoot issues, and collaborate with developers, architects, and analysts on modernization, API/cloud integration, and data warehousing initiatives.