Top Analysis Reporting Jobs in Providence, RI

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

Evaluate Indonesian educational videos for pedagogical quality and alignment with grade-level standards. Map learning objectives to localized search terms, tag and categorize content, perform QA audits, and help standardize evaluation frameworks. Work remotely to manage high-volume data tasks and provide written rationales for tagging decisions.

The Sr. Analyst, Financial prepares and analyzes participation profit share statements, compiles transactional data, interprets contracts, reviews profitability, and communicates with internal and external partners.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

Partner with GTM and Sales leadership to design and deliver executive-grade dashboards and insights across pipeline, bookings, forecasting, and productivity. Build and govern scalable BI solutions (Tableau, PowerBI, Clari, Gong, Salesforce), diagnose revenue performance drivers, support executive and board reporting, improve CRM data quality, and translate analysis into actionable recommendations that influence GTM strategy and revenue outcomes.

Design, build, and maintain secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS, and operational workloads. Lead ingestion/transformation pipelines, implement distributed/event-driven processing (Spark/Kafka), enforce governance, observability, and SLAs, and mentor engineers while partnering with data scientists and stakeholders.

Design and analyze experiments, write production Python code, build reporting and analytics tools, and translate data science analytics into product features to optimize Connected TV ad campaigns.

Lead strategic initiatives in Internal Audit, integrating AI and technology, optimizing processes, managing staffing programs, and aligning with business objectives.

Analyze large payment datasets to detect fraud, build and maintain risk scoring models and automated detectors, lead investigations, optimize payment flows, and produce executive risk reporting to protect the platform and support responsible gaming.