Top Remote Senior Data Analyst Jobs

Identify, analyze, and prevent Medicaid fraud, waste, and abuse by developing and deploying detection algorithms, writing advanced SQL, researching claims data, producing reports and visualizations, troubleshooting client issues, and mentoring analysts while collaborating with engineering and product teams.

Own BI analytics using a modern data stack to generate insights, build dashboards and self-serve tools, partner with stakeholders, and deploy AI-driven reporting and natural-language query solutions.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

Manage end-to-end analytics for performance guarantees across strategic accounts: execute recovery and accrual analytics, build SQL-based pipelines and Looker dashboards, support RFPs/renewals with scenario modeling, partner with Sales/Customer Success and Data Engineering, and present technical findings to internal leaders and clients to mitigate financial risk and drive actionable insights.

Lead design and maintenance of RCM dashboards and reports in Power BI, write/optimize Snowflake SQL, analyze payer/procedure-level leakage and denials, ensure billing data quality, deliver recurring and ad hoc analyses, present findings to leadership, document methodologies, and mentor junior analysts.

The Senior Data Analyst will lead data analysis and reporting in experiential marketing, working with stakeholders to translate data into insights and improve business decisions. Key tasks include building data pipelines, ensuring data quality, and creating dashboards for visualization of key metrics.

Analyze large complex datasets to identify trends and anomalies, produce actionable insights and financial models, document processes, present findings to stakeholders, manage projects and client relationships, mentor junior staff, and support planning and delivery.

The Senior Data Analyst will partner with teams to provide data analytics solutions, develop complex data models, and create visualizations to drive decision-making.

The Senior Analyst will manage eDiscovery matters, collaborate with teams, develop AI tools, and ensure compliance in legal data processes.

Lead complex analytic projects, translate ambiguous questions into rigorous analyses, collaborate with research/data science/business teams, use DBT/SQL/Python/GitHub to extract, transform, and analyze large datasets, support dashboards and reporting, recommend actions, and handle confidential data.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

As a Senior Data Analyst, you'll provide actionable insights by analyzing product and engineering data, partnering with leadership on metrics frameworks and decision support for product delivery.

Analyze portfolio-level organic search performance to identify trends and opportunities, build dashboards and benchmarks, define KPIs, evaluate strategy and product impacts, partner with Product/Data/Engineering, and translate insights into clear recommendations for technical and non-technical stakeholders.

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

The Senior Data Analyst transforms data into insights to guide business decisions, conducts analyses, and improves data collection systems.

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

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 a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

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.

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.

Senior finance-focused data analyst responsible for owning finance, accounting, and revenue data pipelines; building forecasts, scalable SQL transformations, repeatable dashboards, and analytics; delivering accurate reports and insights to stakeholders including C-suite; ensuring QA, documentation, and cross-functional collaboration to drive actionable recommendations.

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.

The Senior Data Analyst manages Data Transfer Agreements, conducts gap analyses, and interacts with clients to translate data needs into actionable insights, ensuring data quality and integration across systems.