Top Data & Analytics Jobs in Providence, RI

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

The Associate will generate insights, analyze data for better decision-making, enhance operational dashboards, and collaborate across teams to improve efficiency and report to leadership.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Senior Product Analyst will oversee product analytics projects, collaborating with teams to develop KPIs, conduct A/B testing, and provide data-driven insights to enhance decision-making.

The role focuses on providing analytics services to game studios, including A/B testing, revenue analysis, and data contextualization for decision-making.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Lead partner analytics by building scalable dashboards, forecasting and ROI models, and experimental designs to evaluate and optimize partner performance. Collaborate with Product, BD, Marketing, and Data Engineering to improve pipelines, translate insights into recommendations, and mentor analysts to scale partner growth.

Support review of source inventories and cross-reference authoritative port/waterway datasets; design and implement geodatabases and attribute schemas; produce and validate polygons, run topology checks, develop metadata and source lineage, document discrepancies, and support QA and incremental production deliveries.

Lead analytics strategy, governance, and reporting to create trusted metrics. Drive insights across churn, retention, product telemetry, and marketing. Build analytical models, oversee Looker BI, partner with Data Engineering, establish data quality and AI-readiness, and hire and grow the analytics team to influence leadership decisions and business outcomes.

Lead a hands-on analytics team (player-coach) delivering deep-dive analyses, A/B testing, KPI dashboards, metric governance, and stakeholder-facing insights while managing and developing analysts and partnering with data engineering.