Top Data & Analytics Jobs

Lead prospect research and portfolio moves management to support major gift officers. Oversee prospect identification, research, pipeline strategy, KPI reporting, vendor oversight, and staff development to drive fundraising cultivation, solicitation, and stewardship aligned with organizational priorities.

The Machine Learning Educator will develop and teach ML programs, mentor teachers, and write code to enhance learning at Jane Street.

Partner with Marketing to analyze Pave's compensation dataset and produce published data stories, reports, and customer-facing data products; field data questions from stakeholders; build lightweight measurement frameworks; and translate complex findings into clear narratives that drive product and business impact.

As a Data Analyst II, you'll enhance reporting capabilities and collaborate on data insights across teams, utilizing visualization tools and Python for automation.

Lead end-to-end growth initiatives to improve Starlink customer retention and lifetime value through technical analysis, predictive modeling, large-scale experiments, and cross-functional execution. Build analytic frameworks, define KPIs, drive data integrity, and present outcomes to senior leadership while mentoring team members and scaling automated solutions.

Quantitative Researchers at Xantium analyze financial datasets, develop quantitative trading models, and support trading operations. They collaborate with senior staff and enhance their research skills, primarily in mathematics and statistics.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Analyze GIS data and OSP designs to evaluate fiber expansion opportunities. Conduct feasibility studies, cost and financial impact analyses, resolve GIS-project discrepancies, prepare reports, and collaborate with engineering, construction, and business teams to support planning and deployment.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Model and track fleet capacity (power, space, cooling, compute), forecast constraints, connect deployment schedules to sellable capacity, run scenario analyses to inform allocation and deal decisions, and build executive-ready reporting.