Top Data Analyst Jobs

Perform moderate data management and analysis within a defined data domain: run and modify queries, produce statistics and coverage metrics, profile and validate data, investigate and report data issues, support onboarding and production data tasks, and provide technical problem-solving and ad-hoc data counts for stakeholders.

Deliver analyses, dashboards, and reports using AWS, Snowflake, dbt, and BI tools. Support data modeling, validation, KPI development, ad hoc requests, and collaborate with data engineers and scientists to drive business decisions.

Support federal clients by analyzing data, building dashboards and reports in Tableau/Power BI, performing cost and strategic modeling, aiding POM and ICE processes, improving business processes, managing records and compliance, and producing training and program analytics.

Lead design, build, and maintenance of scalable data pipelines, sandbox databases, and analytics dashboards. Investigate and resolve complex data discrepancies, perform ETL/ELT, data modeling, and performance tuning using Databricks, Starburst, Kafka, SQL, and Python. Partner cross-functionally, enforce data governance, document processes, and mentor team members to support research prototyping and business insights.

Design, build, and maintain dashboards, KPIs, alerts, and front-end data applications for Purchasing. Analyze and validate data, support root-cause analysis, translate product requirements into analytics deliverables, and collaborate with engineers, data scientists, and UX to test, release, and iterate data products.

The Forward Deployed Data Analyst will optimize SQL queries, troubleshoot analytics pipelines, and collaborate with customers to enhance their data systems. Responsibilities include diagnosing issues, proposing structural improvements, and coordinating with engineering teams.

Own and build the support reporting layer: ticket volume, SLA, resolution times, CSAT/CES/sentiment, and capacity. Produce dashboards and analyses for leadership and engineering, maintain data quality and governance, prioritize issues using multi-signal models, and surface Voice of Customer trends to close the loop with Product and GTM.

Own and validate quantitative financial datasets used for factor and risk models: onboard and reconcile vendor sources, build automated data validation/monitoring, investigate anomalies, write Python/SQL pipelines, maintain documentation and runbooks, and collaborate with internal teams and vendors to productionize and maintain reliable data workflows.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Maintain and improve Snowflake data pipelines ingesting EMR and ERP data, build Power BI/DAX dashboards for revenue cycle and clinic performance, implement data quality/version control, partner with finance to validate metrics, and recommend data architecture improvements.

Lead requirements gathering, document functional specifications, review data models, validate implementations, support production deployments, investigate data quality and collaborate with technology teams to ensure data completeness and lineage.

Collect, consolidate, and validate data from disparate sources; document functional specifications; review data models; gather business requirements; support deployments; investigate data quality and bridge gaps with technology teams.

Analyze and consolidate disparate data sources, document functional and business specifications, review data models, validate implementations, support production deployment, and investigate data quality and lineage issues.

Analyze, integrate, clean, and model operational and technical data to produce dashboards, reports, and forecasts. Identify trends, lifecycle/status, risks, and noncompliant assets; support automation, data quality improvements, and decision-making across engineering and operations teams.

Lead and drive data strategy and analytics initiatives; design data models and simulations; perform advanced statistical analysis; lead cross-functional teams; mentor junior analysts; improve data collection and analysis processes; and present findings to executive leadership.

Analyze C&DS project data to produce reports, visualizations, and predictive/prescriptive models. Build data pipelines and models, mine complex datasets, support data governance, collaborate with IT and stakeholders, respond to ad-hoc requests, and improve business processes using BI tools and statistical methods.

Lead product analytics by building best-practice reports, dashboards, and A/B test analyses. Integrate internal and external data, apply advanced analytics, and deliver actionable insights to influence product strategy and operational efficiency across digital, connected fleet, pricing, and ridesharing products.

Support measurement, reporting, and analytics for digital advertising campaigns. Build Power BI dashboards, run attribution and performance analyses, manage data pipelines, deliver insights to sales/product, ensure reporting accuracy, and support AI-driven optimization and campaign pacing.

Support product, content, and revenue teams by building and maintaining dashboards, performing ad hoc analyses of user engagement and monetization, validating data quality, and analyzing A/B test results to translate findings into clear insights that inform product and business decisions.

Manage end-to-end funding transaction data workflows, validate PR/PO integrity, monitor burn rates and ULOs, track contract lifecycles, build automated Power BI/Tableau dashboards, perform ad-hoc forecasts and analyses, prepare leadership briefings, and ensure data governance and compliance for Directorate financial operations.

Perform contract and funding oversight for assigned groups: prepare and validate funding documents, review purchase requests, track obligations and burn rates, manage contract modifications, analyze data and build reports/dashboards, support dispute briefings, coordinate with finance/contracting/program teams, and author SOPs to improve acquisition and funding processes.

The Data Analyst II at Brex enhances tracking and reporting capabilities across teams, delivering insights through analyses and visualizations, while collaborating with Data Scientists and Engineers.

As a Data Analyst II, you'll enhance reporting capabilities and collaborate on data insights across teams, utilizing visualization tools and Python for automation.

The HRIS Data Analyst will analyze workforce data to identify trends, build dashboards and reports, normalize data sets, and support surveys across agencies while ensuring clear communication of findings.

The role involves analyzing complex datasets to provide insights, leading analytics projects, ensuring data quality, and mentoring peers. It requires expertise in advanced analytics, machine learning, and data visualization, driving automation for efficiency.