Top Data & Analytics Jobs

Own digital analytics, reporting, dashboard development, data extraction, ETL, and AI-enhanced insight generation for luxury e-commerce. Partner with business leaders and online retail teams to translate questions into analysis, identify trends and opportunities, improve KPIs, and create self-service reporting. Present clear recommendations to leadership, maintain data governance, validate AI-generated insights, and support data and AI initiatives.

Supports geospatial services for renewable energy projects by maintaining geodatabases, conducting spatial analyses, creating publication-quality maps and permitting exhibits, integrating GPS, aerial imagery, and drone data, and documenting data quality and metadata. Collaborates with engineers, environmental scientists, project managers, and senior GIS analysts while gaining practical experience in site selection, constraints mapping, and permitting deliverables.

Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.

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.

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.