Top Remote Data & Analytics Jobs

Lead analytics for Wealth Solutions: analyze client segmentation, revenue, and operational data; build models for capacity and workforce planning; produce insights and recommendations for senior leadership; partner with BI and Finance to improve advisor productivity, client experience, retention, and revenue growth; support strategic projects and translate complex data into clear presentations.

Support and develop BI applications for a client financial platform across environments. Build reports, analytics, and budgeting solutions (TM1), develop/tune Oracle SQL/PLSQL, deploy BI tooling, support UIs (low-code), follow Agile practices, and collaborate on integrations, security hardening, and operations.

Lead development and commercialization of enterprise data and analytics products. Own portfolio strategy, roadmap, pricing, go-to-market, financial performance, and cross-functional execution. Build and coach the Data Solutions organization, engage executives and Board-level stakeholders, ensure compliance and scalability, and drive revenue and customer outcomes.

Lead advanced fundraising analyses to inform strategy across channels, owning end-to-end analytical projects, preparing and transforming data, building reports/dashboards as needed, producing written executive briefs, and partnering with stakeholders to translate insights into actionable fundraising recommendations. Mentor junior analysts and help establish scalable analytical practices.

Lead end-to-end product analytics: instrumentation, data quality, funnels, retention, and experimentation. Use SQL and Python for analysis, build dashboards, partner with product and growth, and improve analytics infrastructure (Amplitude and data warehouse migration). Remote with GMT+1 overlap.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Design, develop, and deploy Power BI reports and dashboards. Gather requirements, model and transform data, write DAX and SQL, integrate multiple data sources, ensure data security, and support end users.

Design and administer enterprise dashboards and reporting solutions (Tableau, Power BI, Microsoft Fabric). Translate complex business questions into compelling data stories, partner with stakeholders and BI engineers, champion visualization standards and governance, mentor analysts, and improve reporting usability and trust across the organization.

Work with clients and technology teams to gather and translate business requirements into technical user stories and solutions, propose process improvements, and communicate effectively with stakeholders. Assist in analytical solution delivery and may write/execute SQL queries.

Lead analytics to turn onchain data into insights for product growth, retention, and investor reporting. Build dashboards tracking TVL, funnels, vault performance, and cash flows; analyze onchain and market data; benchmark competitors; collaborate cross-functionally to inform launches, incentives, and retention; translate data into clear narratives.