Top Remote Data & Analytics Jobs

Lead growth analytics for Spark: analyze large datasets, design event tracking, build dashboards, run and validate experiments, model forecasting and LTV, ensure measurement/attribution integrity, and surface growth opportunities to product and marketing teams.

Support federal clients by analyzing data, building dashboards and reports in Tableau/Power BI, performing cost and strategic modeling, aiding POM and ICE processes, improving business processes, managing records and compliance, and producing training and program analytics.

Lead implementation and configuration of Adobe Analytics and Adobe Target across web and mobile, design tagging and data architecture, translate business needs into tracking requirements, troubleshoot data collection issues, integrate with CDP (Hightouch), document data dictionaries, and drive adoption of analytics across cross-functional teams.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Lead development of scalable marketing data models, pipelines, and BI solutions. Partner with Marketing to define metrics, build dashboards, enable self-service analytics, and drive data governance and best practices.

Analyze C&DS project data to produce actionable insights. Build data pipelines, reports, visualizations and predictive/prescriptive models. Collaborate with IT, data governance, and business stakeholders to enable data-driven decision-making, support reporting needs, and ensure data quality and access.

Lead delivery of commercial data sources, build data models, implement Databricks, create Tableau dashboards and reports, partner with business and IT to translate requirements, conduct analysis to improve data quality, and provide training and support for commercial decision-making.

Lead measurement strategy for paid and performance marketing, design and interpret A/B and lift tests, run incrementality and attribution analyses, and optimize channel budgets. Build business cases, develop dashboards and BI workflows, evaluate AI-enabled analytics tooling, and enable self-serve analytics. Partner cross-functionally and present insights to leadership to drive experimentation, growth, and LTV outcomes.