Top Data Analyst Jobs

Own end-to-end client reporting and analysis, including scoping, delivery, automated report development, and deep-dive investigations. Partner with client-facing teams to answer complex healthcare questions, improve report efficiency and accuracy, develop scalable reporting automation with data engineering, and establish best practices for visualization, documentation, metrics, and stakeholder communication.

Build CodeRabbit’s foundational BI capabilities, executive and board-level dashboards, governed dbt data models, and self-serve analytics workflows. Analyze finance and go-to-market performance, including ARR, pipeline, margins, forecasting, and billing. Partner with Finance, GTM, and leadership to establish trusted metrics, improve data infrastructure, and develop agentic tools that generate reviewed dashboards and insights.

Analyze large and complex datasets to identify trends, clean and transform data, query databases with SQL, and develop dashboards and visualizations using Databricks, Tableau, Power BI, and Excel. Produce analytical reports and recommendations, apply predictive analytics when appropriate, and support agile delivery through user story documentation and testing.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Conduct quantitative modeling, statistical analysis, cost-benefit studies, performance assessments, and dashboard or decision-support development for Senior Service College and military education programs. Translate complex data into recommendations, policy inputs, reports, and briefings for senior Department of War leadership, Congress, and government stakeholders. Work independently on high-visibility, mission-critical initiatives while supporting program evaluation and outcomes-based military education policy.

Analyzes healthcare claims data and supports CIVHC’s client inquiry process by investigating technical questions, writing SQL queries, validating datasets and reports, and communicating findings to technical and non-technical audiences. The role collaborates across teams, maintains documentation, performs quality assurance, supports process improvements, and contributes to reports and analytical projects involving the Colorado All Payer Claims Database.

Designs and owns analytics solutions for business stakeholders, including dbt data models, advanced SQL transformations, data quality controls, semantic layers, Looker and Power BI dashboards, and automated reporting. Performs exploratory and root-cause analysis across revenue, sales, retention, margin, and operations; reconciles results with finance systems; documents metrics and lineage; and supports BI platform modernization and post-merger integration. The role requires strong stakeholder communication, analytics engineering, cloud data platform expertise, and production-quality development practices.

Performs data quality assurance for large datasets by validating imports, updates, transformations, and extracts. Writes SQL test queries, reviews database logic, executes test cases, identifies defects, verifies corrections, and documents testing results. Collaborates with data engineers, business analysts, project managers, and QA professionals to ensure data integrity and compliance with requirements.

Lead the Analytics Enablement team and oversee enterprise analytics infrastructure, data models, semantic layers, dashboards, reporting workflows, and reusable analytical datasets. Establish analytics standards, improve tool scalability and analyst productivity, mentor technical analysts, coordinate cross-functional initiatives, and use analytics to support customer segmentation and insurance growth acquisition.

Lead supply chain analytics and AI initiatives focused on MRP accuracy, inventory optimization, production scheduling, and process improvement. Develop statistical, machine learning, generative AI, and reporting solutions; manage supply chain metrics and data governance; optimize SAP MRP parameters; support SIOP planning; and partner with procurement, manufacturing, engineering, and IT teams. Mentor analysts and data scientists while driving automation, analytics strategy, and measurable operational improvements.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.

Analyzes application data, business processes, budgets, and reporting to identify trends and improve organizational effectiveness. Partners with federal stakeholders and technical teams to gather requirements, develop workflows, enhance systems, coordinate testing, prioritize backlogs, and deliver executive dashboards and recommendations. Creates process documentation, training materials, and knowledge resources while supporting application modernization, continuous improvement, and operational initiatives for NHLBI.

The Staff Data Analyst will lead data strategy for Compliance, analyzing regulatory engagements, and driving effectiveness through actionable insights and collaboration across various teams.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

Manages and prepares data from internal and external sources, validates data quality, performs descriptive, predictive, and prescriptive analysis, and documents methodologies and outcomes. Develops and maintains self-service reporting tools and dashboards, supports regular and ad hoc reporting, trains customers, and presents audience-appropriate findings. Identifies anomalies, investigates root causes, ensures reproducibility, and provides recommendations to support data-driven underwriting and actuarial decisions.

Manages and prepares data from internal and external sources, evaluates data quality, performs descriptive, predictive, and prescriptive analysis, and documents reproducible methodologies. Develops and enhances self-service reporting and analytics tools, gathers requirements, manages delivery milestones, trains customers, and presents findings to support data-driven decisions. Requires strong data interpretation, visualization, database, OLAP, and communication skills, with knowledge of SQL, R, SAS, or SPSS.

Analyzes marketing and CRM data, builds KPI dashboards, provides campaign and business development recommendations, and manages Salesforce administration, automation, audits, permissions, and data quality. The role validates integrations, supports migrations, troubleshoots system discrepancies, identifies enrichment opportunities, and provides user onboarding, training, and documentation. It collaborates across marketing and business development teams to improve prospecting, relationship management, cross-selling, client acquisition, and retention.

Analyze complex datasets using graph and network analysis, identify relationships and anomalies, build dashboards, and translate findings into executive briefings and recommendations. Coordinate contractor, government, and technical teams, track milestones, manage action items, and resolve operational bottlenecks for a high-visibility Department of Defense initiative.

Analyzes and manages large-scale performance and test data for HQ CCC. Responsibilities include statistical analysis, data pipelines, dashboards, database and system administration, data governance, lifecycle management, quality controls, and stewardship. The role uses Palantir Foundry, Databricks, Power BI, Tableau, Python, R, SQL, YAML, and PySpark to deliver secure, trustworthy, auditable insights supporting cyberspace performance and risk decisions.

The Data Analyst will provide data solutions, build data pipelines, develop visualizations, ensure data integrity, and stay updated on analytics trends for a Department of War client.

Build predictive models and analytics engineering workflows for Talent Acquisition, including pipeline forecasting, candidate conversion, time-to-fill, and quality-of-hire analysis. Define strategic recruiting metrics, evaluate AI tools for ROI and bias, improve data pipelines, and lead dashboard and visualization strategy using enterprise BI tools. Partner with TA leadership, data warehouse engineers, and People teams to deliver actionable insights and resolve complex data issues.

Build and maintain Power BI dashboards, reports, data models, datasets, dataflows, security, and refresh schedules. Conduct SQL, Power BI, Excel, and Power Query analyses; partner with IT on enterprise data modeling; document data assets and methodologies; translate stakeholder needs into technical requirements; communicate findings; and coach staff in data literacy and dashboard interpretation.

Develops and maintains Power BI reports, dashboards, semantic models, and analytical products supporting U.S. Army mission operations and leadership decisions. Responsibilities include gathering requirements, transforming and modeling data, developing DAX measures, validating data quality, optimizing reports, managing refreshes and deployments, troubleshooting issues, documenting reporting logic, and collaborating with government stakeholders and technical teams. The role also supports Power Platform integrations, user acceptance testing, governance, and embedded Power BI dashboards within Power Apps.

Performs data analysis, business intelligence, data management, and data quality work. Builds data solutions, self-service tools, dashboards, metrics, and visualizations; analyzes complex data to support business strategies; and manages metadata, lineage, definitions, access governance, and data quality monitoring. Partners with business and technology teams while using Python, R, Spark, SQL, Snowflake, AWS, and visualization tools.

Analyze complex data and develop managed data solutions, business intelligence tools, dashboards, metrics, and self-service capabilities. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, security, and access governance. The role requires scripting, querying, visualization, Snowflake development, and familiarity with cloud services and data governance.