Top Data & Analytics Jobs

Designs, builds, and maintains scalable Databricks and PySpark data pipelines; develops Python and SQL transformations; identifies insights from ambiguous datasets; and ensures data quality, governance, documentation, and reliable delivery. Collaborates with stakeholders and cross-functional teams to integrate data into applications and dashboards, troubleshoot pipeline issues, and support a Department of Defense Navy client.

Owns production data systems end to end, including data models, ETL and API integrations, applications, platform maintenance, data quality, governance, and technical debt. Supports OPSDB and exploration operations, improves reliability and alerting, documents systems, collaborates with cross-functional and nontechnical stakeholders, and mentors junior analysts. The role also supports procurement and inventory initiatives, works with geologists, and requires occasional international travel to exploration sites.

Own Marketing’s reporting and analytics layer by building executive dashboards, defining KPIs, modeling data across GTM systems, and establishing governance and trusted sources of truth. Partner cross-functionally to measure funnel performance, attribution, campaigns, pipeline, and ROI. Help evaluate and develop AI-powered analytics, conversational reporting, automated insights, and intelligent visualization while translating complex data into actionable recommendations for leadership.

Leads and supports database design, development, administration, optimization, and maintenance. Develops database schemas, parser and loading software, queries, scripts, and macros while aligning structures with system architecture. Directs requirements fulfillment, data organization, storage and retrieval, and complex database systems using cloud methodologies. Requires extensive Oracle platform experience, Linux and Bash skills, a current poly clearance, and substantial database engineering experience.

Collects and analyzes internal and external data to identify trends, opportunities, and risks. Develops dashboards, reports, and visualizations for leadership; monitors KPIs; partners with advisors to answer business questions; and supports strategic planning through forecasting, modeling, and scenario analysis.

Maintains vendor process maps and pricing data, coordinates database server and application installation and configuration, troubleshoots database errors, manages user access and data distribution, provides data management support, and communicates with vendor IT teams.

Leads competitive intelligence for Athene’s retail annuity business, analyzing market, competitor, product, and sales information. Delivers insights supporting rate-setting, product strategy, positioning, executive decisions, and new product development. Partners with Product, Sales, Marketing, leadership, and communications teams; maintains external market perspectives; and improves analytics through technology, automation, data visualization, and AI.

Conducts proactive and responsive prospect research to evaluate donor capacity, affinity, and engagement. Develops research profiles, due diligence reports, briefings, prospect lists, and analytical materials supporting fundraising and stewardship. Maintains prospect records, analyzes wealth screening and institutional data, monitors relevant developments, and advises development staff on portfolio management and cultivation strategies. Also supports research tools, documentation, training, and process improvements while handling confidential information.

Build and operate large-scale data ingestion pipelines powering research and trading platforms. Own pipeline quality, reliability, performance, and data health; collaborate with traders, quantitative researchers, and data owners; optimize compute, storage, and SLAs; migrate pipelines to modern platforms; and implement tools to detect and resolve source-data quality issues.

Leads enterprise strategy, architecture, delivery, governance, and operations across data, analytics, information management, automation, AI, and GenAI. Drives transformation toward governed data foundations, reusable data products, data marketplaces, self-service analytics, and responsible AI. Oversees platforms, pipelines, dashboards, automation initiatives, budgets, vendors, and senior technical teams while partnering with business, Legal, Compliance, Quality, and Security. Builds training, adoption, stewardship, and change-management programs across a global life sciences organization.