Top Data & Analytics Jobs

Build and lead the Data & Analytics function: design data pipelines, modeling, orchestration, BI dashboards, and analytics to inform product, engineering, GTM and marketing. Own analytics infrastructure, metrics, experimentation, and translate insights into action across teams.

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Build and maintain scalable data processing pipelines and the data warehouse, write tested performant code, develop product features, establish data engineering standards, and collaborate across product and engineering to improve data access and quality.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.

Design, build, and maintain KPIs, dashboards, automated reports, and BI solutions to improve project controls visibility. Analyze large datasets, ensure data quality and governance, support Cost/Schedule/Risk/Change functions, provide forecasting and ad hoc analysis, and collaborate across teams to drive adoption and process improvements.

Design and maintain scalable dbt data models and Looker dashboards; partner with Finance, Product, and GTM to translate requirements into analytics solutions; ensure data quality with Data Engineering; perform analyses, forecasting, and QA to deliver trusted reporting and drive analytics initiatives.

Design and implement a BI solution on Hadoop/Hive: develop ETL processes, data transformations, populate Hadoop cluster and BI server, add security controls, support reporting, and iterate on user-driven enhancements.

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.

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.

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.