Top Data & Analytics Jobs

Lead and build the Customer Insights function to turn commercial and customer data into actionable analytics and recommendations. Define vision, strategy, governance, and operating model; deliver dashboards, scorecards, segmentation, targeting, pricing/contract analytics, and sales effectiveness tools; partner across Sales, Marketing, Commercial Operations and Data Science; and drive measurable commercial impact through capability building, automation, and predictive analytics.

Design, build, and maintain enterprise BI solutions (Strategy/MicroStrategy) in a cloud data warehouse environment. Partner with business and data architecture teams to deliver certified reports, dashboards, and semantic layers. Provide production support, troubleshooting, deployments, documentation, training, and on-call rotation to ensure stable, high-performance analytics for business stakeholders.

Lead demand forecasting and performance analytics for eCommerce: build forecasting models, run scenario and promotional analyses, produce executive reporting, drive cross-functional predictive initiatives, and deliver market and competitive insights to inform planning and resource allocation.

Lead analytics for the Credit Card portfolio, partnering with Product, Engineering, Credit Risk, Fraud, and Marketing to deliver data-driven strategy. Perform ad-hoc and cohort analyses, design A/B tests, manage BI reports, drive portfolio growth and risk insights, and build scalable data solutions with Data Engineering. Influence executives through clear recommendations and leverage AI tools to accelerate analytics and self-service.

Lead market sizing, forecasting, segmentation, and competitive analysis to produce executive-ready reports, dashboards, and strategic recommendations. Conduct primary and secondary research, support product positioning, pricing, and go-to-market planning, and present findings to senior leadership. Manage junior analysts and maintain market models and strategic databases.

Conduct global competitor and market intelligence using primary and secondary research and BI tools. Produce executive-ready reports, dashboards, market sizing, forecasts, competitor profiles, and strategic assessments to support product, commercial, and executive decision-making. Collaborate cross-functionally and attend industry events to gather insights.

Designs, builds, and supports scalable ETL/ELT data pipelines and data models in GCP/BigQuery. Integrates clinical and operational sources (Epic, Workday), ensures data quality and governance, supports production operations, enables analytics/AI use cases, and partners with stakeholders to deliver reliable data products for clinical, operational, and financial decision-making.

Design and own cloud-scale data architectures for industrial IoT telematics. Lead cross-functional data design, build high-volume datastores and pipelines, drive performance and data quality, mentor engineers, and translate business needs into physical data models.

Lead development and activation of a comprehensive Voice of the Customer program: aggregate and analyze quantitative and qualitative feedback, create actionable insights and reports, define customer metrics and scorecards, partner with business and technology teams, deploy feedback management systems, manage vendors and budget, and influence strategy to improve customer experience and operational outcomes.

Own and maintain KPI reporting pipelines and business logic, ensure data quality, diagnose KPI changes, perform deep-dive analyses, build dashboards and visualizations, architect data models and curated reporting zones, and partner with Data Engineering and product/marketing stakeholders to enable self-service analytics.

Lead customer performance measurement and analytics to inform strategic priorities. Build KPI frameworks, single source of truth, dashboards, and decision support. Identify drivers of customer outcomes, partner with cross-functional teams, support AI/automation initiatives, and drive data-driven improvements in retention, satisfaction, and operational effectiveness.

Analyze call-centre data to identify opportunities that improve conversion, revenue per call and operational efficiency. Lead analytical projects, design test-and-learn initiatives, build KPI frameworks and dashboards, support AI/advanced analytics adoption, influence cross-functional stakeholders, and track measurable commercial impact.