Top Remote Senior Data Analyst Jobs

Drive Data Governance requirements, analyze and validate data, collaborate with stakeholders, and maintain Data Governance artifacts using SQL and Informatica tools.

Build and maintain SQL queries and automated data workflows to support CARF and 1099-DA regulatory reporting. Validate, reconcile, and document reporting data; partner with cross-functional teams; track work in Jira; identify automation opportunities; support testing, audits, and jurisdictional implementations.

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 cross-functional analyses and build scalable reporting for go-to-market teams. Develop and automate data pipelines, create interactive dashboards, improve data quality, and translate complex findings into actionable recommendations for stakeholders and executives.

The Senior Analyst, Growth Analytics will develop CRM analytics strategy, optimize customer retention, drive lifetime value, analyze experiments, and provide insights to enhance decision-making and business impact at CookUnity.

Lead reconciliation data analysis for cash, stock and position records. Gather requirements, document functional specs, validate solutions, support production deployments, investigate data quality and work with technology leads to ensure data completeness and lineage.

Analyze and consolidate disparate data sources, document functional specifications, review logical and conceptual data models, gather business requirements, validate implementations, support production deployments, investigate data quality issues, and coordinate with technology leads to resolve data completeness and accuracy gaps.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Design, analyze, and document data products and technical specifications. Perform large-scale data profiling and SQL analysis, support data governance, partner with stakeholders to remediate issues, and help implement data quality, lineage, and ingestion standards.

Lead analytics strategy for federal programs: perform statistical modeling, forecasting, and data mining; build dashboards and automated workflows; ensure NIST/FISMA compliance and data quality; present findings to government stakeholders; mentor junior analysts and manage analytics workstreams.

The Senior Data Analyst will evaluate gaming machine performance, develop reports and dashboards, and provide actionable insights through data analysis.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Build reliable data models and semantic layer for AI-powered analyses. Support Product, Finance, and Customer Success with SQL-based analytics, BI dashboards, and stakeholder storytelling. Standardize data team processes, prioritize work, and collaborate across company to enable data-informed decisions.

Partner with Sales, RevOps, Marketing, and Customer Success to connect the full revenue funnel. Produce GTM insights using advanced analytics, SQL, and BI tools; communicate findings to stakeholders; standardize Data team processes; mentor analysts and lead data-driven initiatives to drive business outcomes.

Analyze player behavior and drive product innovation through data-driven insights. Collaborate with teams to design and evaluate experiments, maintaining data quality and delivering meaningful insights.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.

The Senior Data Analyst will analyze digital marketing campaigns, leverage data sources for business decisions, and communicate insights effectively to improve performance and support Media Partners.

Build statistical and machine learning models on healthcare claims, financial, and organizational data to generate account intelligence. Develop entity resolution, affiliation/network mapping, clinical ontologies, and account-targeting signals. Design data-sourcing and scoring methods, partner with product and engineering to productionize models, and communicate results to varied audiences.

Lead reporting and analysis across product, call center, and marketing; manage enrollment and revenue reconciliation; produce partner and carrier reports; analyze member engagement and plan performance to surface actionable insights.

Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.

As a Senior Data Analyst, you will analyze game telemetry data, translate business needs into insights, and guide technical teams. You will also lead exploratory data analysis and maintain data quality practices.

Lead sales operations analytics for Grocery and Retail: design dashboards and models, analyze sales and market trends, support forecasting and capacity planning, optimize sales funnel performance, deliver strategic insights to sales leadership, and collaborate with data engineering/BI using SQL, Python, and visualization tools.

Analyze large datasets using complex SQL and advanced Python (Pandas, NumPy); build and optimize data pipelines, automate tasks, and create Google Sheets reports and dashboards. Collaborate cross-functionally, present insights to technical and non-technical stakeholders, and support data-driven decision making.

Lead design and buildout of an Operations Intelligence Warehouse (BigQuery, dbt, Metabase), define metrics and data quality standards, create dashboards for throughput and cycle time, join ops to GTM/financial data, run variance/root-cause analyses, and partner with Data Engineering and stakeholders to turn operational telemetry into actionable insights.

Lead development and scaling of financial analytics: build data models, dashboards, and reporting; translate financial data into executive insights; embed predictive analytics; partner with Finance, IT, and business units to improve data quality, governance, forecasting, and automation.