Top Data & Analytics Jobs

Analyze internal and external data to identify trends, build targeted datasets for omnichannel marketing campaigns, and provide product, customer, segment, and business-unit recommendations. Develop and implement statistical response, performance, and lookalike models using Python and R. Create KPIs from multiple data sources and collaborate with internal teams to support campaign performance and decision-making.

The Senior Data Analyst serves as a bridge between business stakeholders and enterprise data platforms. Responsibilities include defining KPIs, analyzing customer and commercial data, building dashboards and reporting solutions, developing SQL and Python data transformations, managing pipelines, integrating enterprise systems, and establishing data governance and quality standards.

Build Baseten’s marketing analytics foundation, including data models, dashboards, segmentation, lifecycle measurement, attribution, experimentation, and conversion optimization. Integrate CRM, advertising, web, email, product, and revenue data to connect customer journeys and enable data-driven marketing decisions. Partner with Demand Gen, Field Marketing, Marketing Operations, Product Marketing, GTM, Finance, Product, and Engineering.

Leads data analytics and operational transformation for the Magnetic Resonance team. Oversees exploratory analysis, predictive modeling, forecasting frameworks, metrics, visualizations, and scenario-based insights to improve delivery and installation performance. Partners with regional, segment, business, and technical stakeholders to support planning, strategic initiatives, data transparency, and continuous improvement. Travel to manufacturing or customer locations may be required.

Lead advanced data analysis and campaign measurement initiatives, developing statistical models, causal inference methods, dashboards, reporting solutions, and measurement frameworks. Collaborate cross-functionally to evaluate campaign effectiveness, validate incrementality, investigate anomalous results, and provide actionable recommendations. Present complex analytical findings and limitations to executives, influencing strategic and operational decisions. The role requires expertise in SQL, statistical modeling, data visualization, and data science programming languages.

Leads and develops a team of data analysts and BI developers, establishes the analytics strategy and roadmap, prioritizes projects, and oversees dashboards, reports, and data solutions. Partners with business and executive leaders to translate complex problems into actionable insights, while championing data governance, security, team performance, and continuous improvement.

Generate and quality-control high-volume customized and standardized client reports on weekly, monthly, and quarterly schedules. Complete due diligence questionnaires, investigate client inquiries, maintain data integrity with vendors and intermediaries, and prepare materials for portfolio management, client groups, marketing, and presentations. Collaborate across departments, communicate findings, meet deadlines, and develop expertise in the firm’s investment philosophy and processes.

Analyze clinical trial and imaging data to identify trends, anomalies, and data-quality issues. Aggregate information from Power BI reports, EDC, CLARIO, and other sources; create dashboards and customized reports; troubleshoot discrepancies; and develop tools that improve analysis efficiency. The role partners with clinical and cross-functional teams to support forecasting, reporting, process improvement, and evidence generation for transcatheter heart valve products.

Build automation, data pipelines, data lakes, visualizations, and reporting infrastructure for Finance. Analyze financial data, improve data quality and auditability, support systems integrations and transformation initiatives, investigate issues, and translate stakeholder needs into product requirements. Partner with treasury, accounting, FP&A, Engineering, and Systems teams while evaluating technologies and developing scalable, near-real-time data solutions.

Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.