Top Data Analyst Jobs

Build and maintain Power BI reporting for FP&A: extract and transform data (Bronze/Silver), semantic modeling and dashboards (Gold), ensure accuracy, security, performance, and manage Power BI Service access and role-level security.

Design, build, and scale analytics and reporting for sales, incentives, and payments. Gather requirements, partner with data engineers and business stakeholders, develop solutions, test and implement deliverables, support users, present insights to management, and drive adoption through knowledge transfer and change management.

Support and maintain geospatial data holdings, enforce data standards, build ETL and preprocessing automation, perform statistical analysis, create visualizations and lightweight tools, manage data dictionaries, ingest and curate non-standard imagery, and provide analytics to inform ML model development and mission requirements.

Manage and improve the quality of Project, Pursuit, and Client data in Salesforce; produce dashboards and automated reports; support Salesforce administration, testing, and user enablement; provide training, change management, and ad-hoc analysis to marketing and project teams; coordinate data standardization and firmwide data initiatives.

Maintain and improve quality of Pursuit and Project data in Salesforce; perform audits, research, entry, and ad hoc analysis. Build dashboards and automated reports, support Salesforce administration and testing, deliver user training and enablement, and partner with marketing and project teams to standardize processes and improve data governance and adoption.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Develop and automate reports and dashboards using Tableau and Excel. Extract, clean, validate, and analyze data from multiple sources. Collaborate with teams to define reporting needs, document processes, and present insights to stakeholders while ensuring data quality and accuracy.

Support FBI mission by collecting, analyzing, reconciling, and entering information from multiple sources; maintain case files, prepare reports and documents, track case status, coordinate information requests, and provide timely status updates.

Analyze medical plan claims, costs, demographics, and utilization to identify trends, risks, and cost drivers. Produce and maintain monthly reports, explain outliers to agents and clients, project renewals, reconcile carrier/vendor data, and support implementation/evaluation of analytics tools. Provide actionable insights to reduce client risk and costs and respond to ad-hoc analysis requests.

Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.

Own and execute sales performance reporting and pipeline/forecast analytics for SaaS KPIs. Design and maintain BI dashboards (DOMO preferred), automate data feeds and alerts, troubleshoot data discrepancies, perform ad-hoc analyses, and present actionable insights to sales leadership and executives to optimize pipeline, forecasting, and rep performance.

Lead a team delivering reporting, dashboards, and analytics for policy administration. Ensure data quality and governance, validate reporting, analyze trends, support audits/compliance, and provide actionable insights to improve operations, digital adoption, and customer experience while partnering across business and technology stakeholders.

Support senior leaders by preparing tasking packages and staffing materials, provide risk mitigation, COAs, and ROI-based decision modeling to support Air Force missions and operational plans.

Retrieve, integrate, analyze, and validate business, medical, operations, financial and customer data. Build repositories, perform data extraction and manipulation, identify trends and root causes, produce reports and visualizations, support ad-hoc requests, and consult with stakeholders to inform business decisions and process improvements.

Lead automation of billing, journal entries, reconciliations, and recurring accounting reports. Design and maintain workflows connecting Accounting with other teams, analyze accounting data, build dashboards, and apply ML for forecasting and anomaly detection. Partner with IT and Accounting leadership, document controls, train staff, and drive automation projects from identification through implementation.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

Serve as the enterprise data intake and investigative analyst: use Python and SQL to explore data, surface anomalies and quality issues, translate stakeholder requests, map data flows across systems (CRM/Salesforce), document processes, build lightweight automation, and inform data governance and remediation. On-site in Arlington, VA.

Maintain and audit SQL databases, write automation scripts, generate validation/completeness reports, support ERP (Sage 100) and WMS (HighJump), monitor system performance, produce analytics and documentation, and improve overall data quality and processes.

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.

Prepare analyses for Merch & Planning, write intermediate-to-complex SQL against Snowflake, manage Tableau BI (modeling, standards, automated reports), present insights to stakeholders, partner with data engineering, and build scalable analytics solutions to inform business strategy.

Perform advanced analytics and automation to improve operational workflows. Develop Python solutions, write and optimize SQL, use Excel and BI tools to build dashboards, support EMS platforms, identify automation opportunities, and deliver end-to-end data solutions that inform stakeholders and improve data quality and efficiency.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Support data wrangling, reconciliation, validation, and recurring reporting for crypto-related investigative analytics within Financial Crime Risk. Prepare, clean, and document datasets for investigative workflows, perform data quality checks, collaborate with stakeholders, handle restricted US-only datasets, and assist senior analysts with production reporting and audit-ready process documentation.