Top Data & Analytics Jobs

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

Collects, analyzes, reconciles, and organizes information from multiple sources supporting DEA asset forfeiture and law enforcement operations. Enters and maintains accurate case data, physical files, reports, summaries, and status updates. Tracks case deadlines, coordinates requests for additional information, performs case-related word processing, and reviews legal and non-legal documents for accuracy and completeness.

Conduct advanced workforce analysis for the Administrative Office of the U.S. Courts. Develop statistically defensible staffing methodologies, workforce baselines, scalable staffing models, staffing equations, and supporting tools. Apply statistical analysis, operations research, facility segmentation, scenario and sensitivity testing, and qualitative validation. Collaborate with security and data analytics subject matter experts to document assumptions, limitations, operational factors, and model performance.

Develop and validate R and SAS programs for public health surveillance data. Review datasets, variables, labels, outputs, error logs, interviews, and sampling weights for accuracy and completeness. Identify discrepancies, document corrections, generate data quality tables, and support SAS-to-R training for CDC and health department analysts. The role requires advanced statistical knowledge, scientific writing, data quality assessment, and collaboration across multiple data sources.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

Supports New York State economic research through data collection, validation, analysis, and trend tracking. Develops regional and industry datasets, dashboards, economic briefings, charts, PowerPoint presentations, and public-facing materials for executive and general audiences. Contributes to economic development policy analysis, manages time-sensitive requests, collaborates with internal and external stakeholders, and undertakes special projects while ensuring accurate, reliable, and clearly communicated findings.

Lead the requirements and data-mapping work for an AWS-based data platform: elicit/document business and data requirements, build source-to-target mappings and data dictionaries, define testable data quality rules, support dimensional modeling and UAT, coordinate across engineering/risk/platform teams, manage BA backlog in ADO/Confluence, and leverage AI assistants to accelerate analysis and test-case generation.

Analyze large healthcare datasets and develop complex SQL queries using Azure Synapse/Databricks. Build Power BI reports, produce monthly reconciliations and ad-hoc analyses in Excel/PowerPoint, support payments to value-based specialists, evaluate and expand value-based programs, automate processes with Power Automate/Power Apps, and communicate findings to senior leadership while spearheading new technologies.

Lead product analytics: build and maintain dbt models and Looker dashboards, define KPIs, analyze funnel and user journeys, design and evaluate A/B tests, size roadmap impact, and deliver partner and ad-hoc insights to inform product and executive decisions.

Analyze and process acoustic data from submarine sensors to support Navy mission requirements. Generate reports, recommend processing improvements, and collaborate with Navy, government, and industry teammates.

Design, develop, and maintain data systems, ETLs, reports, and dashboards to meet delegated and regulatory reporting for Claims and Provider Dispute Resolution. Extract, validate, and analyze data, perform root cause analysis, support dataset architecture, and present findings to stakeholders while ensuring compliance, performance measurement, and change management.

Analyzes complex claims data to create SQL- and Power BI-based dashboards, reports, scorecards, forecasts, and actionable insights. Identifies claims leakage, payment anomalies, fraud indicators, reserve activity, and operational inefficiencies. Partners with Claims Operations, IT, Data Engineering, and leadership to improve reporting reliability, business performance, and decision-making. The role also supports statistical analysis, reporting governance, and AI-assisted analytics initiatives.

Work across data infrastructure and analytics: build and maintain dbt models, ingest and transform data, create dashboards and semantic layers in Power BI, validate AI-generated code, partner with stakeholders to deliver analyses and data products, and improve data governance and documentation.

Analyzes complex datasets to identify trends, correlations, and business insights. Develops visualizations with Python, Tableau, or Power BI; supports data profiling, cleansing, validation, governance, and statistical analysis. Collaborates with cross-functional teams to translate business needs into analytical solutions, contributes to automation and process improvements, and communicates recommendations to stakeholders. The role supports AI-enabled solutions and requires knowledge of machine learning concepts, business requirements gathering, and project activities.

Develop, maintain, and modernize enterprise BI reporting: build data ingestion and cleaning pipelines, model structured data, create QlikSense and Power BI dashboards, validate data, troubleshoot reporting issues, and partner with cross-functional stakeholders to deliver actionable analytics and documentation.

Analyze marketing data to uncover acquisition, retention, funnel, and campaign insights. Build Tableau and Looker Studio dashboards, evaluate ad spend and marketing performance, support A/B testing, integrate and validate data from platforms such as Google Ads and GA4, and provide recommendations to marketing, product, and customer experience teams. The role also improves reporting workflows and translates complex analytical findings into actionable business guidance.

Partner with business leaders to own core metrics, reporting, and deep-dive analyses. Build and validate complex datasets, perform driver analysis, time-series forecasting and ML solutions, create executive visualizations, manage recurring analytic processes, and mentor analytics teammates.

Lead analytics projects by translating business needs into analytical approaches, acquiring and validating data, performing advanced analyses, and delivering visualizations and presentations. Own recurring reports, validate methods, and mentor junior analysts while participating in special projects.

Partner with business leaders to own core metrics, reporting, and advanced analyses. Build and validate datasets, create executive visualizations, perform driver analysis, time-series forecasting, and apply AI/ML to inform growth and retention strategy. Lead projects, mentor analysts, and support recurring analytic processes.

Client-facing data analyst supporting Department of the Navy. Translate structured and unstructured data into insights, build and maintain data engineering workflows, create visualizations, advise stakeholders, and drive data-informed acquisition and IT program decisions.

Embed with Marketing, Commercial, and Growth teams to own measurement, reporting, and analysis of customer behavior and commercial performance. Define KPI frameworks, build dashboards and self-service reporting, translate analysis into recommendations, monitor trends and risks, and partner with Data Science and Product to improve data quality and automate reporting with AI-enabled workflows.

Analyze fleet, service, and customer data to identify trends, recurring issues, and operational improvements. Build dashboards, automate reporting, maintain data quality and documentation, and support planned maintenance and issue prioritization. Partner with Technical Operations, Service Operations, and Customer Success to answer urgent questions and guide decisions. Communicate actionable findings to technical and non-technical stakeholders.

Support marketing analytics by analyzing digital channel performance, building and maintaining KPI dashboards, ensuring data accuracy, and collaborating with cross-functional teams to turn insights into actionable recommendations.

Collects, analyzes, reconciles, and organizes information from multiple sources for ATF asset forfeiture case support. Responsibilities include accurate data entry, maintaining physical and electronic files, tracking case deadlines, requesting additional information, preparing reports and correspondence, processing documents, and providing timely status updates. The role requires strong attention to detail, organization, communication, Microsoft Office proficiency, and U.S. citizenship with a 7- or 10-year background investigation.

The Data Analyst position requires U.S. citizenship and that all work be performed within the continental United States, Alaska, or Hawaii. The listed annual pay range is $90,000 to $110,000.