Top Data & Analytics Jobs

Support performance management by collecting, validating, and analyzing data; develop KPIs, dashboards, reports, and forecasts; identify trends and data-quality issues; provide actionable recommendations and executive-level briefings to improve program performance and reporting.

The PIM Data Analyst manages product data quality within the PIM system, handling data requests, ensuring data integrity, and improving processes.

Analyze IVR caller behavior using SQL and Excel, build Tableau reports to visualize trends, collaborate with stakeholders to improve IVR user flows, and provide data-driven recommendations to enhance caller experience.

Own reconciliation and validation of client billing across internal systems, build repeatable data-quality checks and documentation, support Client Group with reporting and dashboards, investigate discrepancies, and drive process improvements and automation to reduce billing friction.

Analyze revenue cycle data, create dashboards and exception reports, identify root causes of denials, model revenue, implement Epic RCM improvements, collaborate with billing/coding/finance and vendors, and present findings to stakeholders.

Support institutional research by collecting, analyzing, and reporting college data (enrollment, retention, graduation, demographics). Produce dashboards, Factbook, federal/state reports, and respond to ad-hoc requests. Communicate findings to technical and non-technical audiences, manage multiple projects, and recommend corrective actions.

Analyze ServiceNow support tickets and user feedback to identify UX pain points and root causes. Build queries and dashboards, model SNOW data for improved metrics, conduct customer outreach and surveys, and recommend data-driven UX improvements while collaborating with cross-functional teams.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python. Clean and process data, build dashboards and reports with Power BI and Tableau, consult with stakeholders to gather requirements, and communicate findings to end users. Work in a hybrid Arlington, VA environment supporting federal clients.

Analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI and Tableau; consult technical and non-technical stakeholders; communicate analysis and deliverables to end users on federal government projects. Must possess IRS Public Trust clearance.

Analyze large structured and unstructured datasets using SQL and Python, clean and process data, build dashboards in Power BI/Tableau, consult with stakeholders, and communicate findings to deliver analytic solutions for federal clients.

Analyze large structured and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI/Tableau; consult stakeholders and communicate findings to end users.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python; build and deploy dashboards in Power BI/Tableau; consult with stakeholders, communicate findings, and collaborate with data scientists and engineers to deliver analytic solutions for federal clients.

Join a cross-functional team to explore and analyze large structured and unstructured datasets using SQL and Python, build and deploy dashboards (Power BI, Tableau), consult with stakeholders, and communicate analytic results and reports to end users for federal government clients.

Consult with stakeholders to explore and analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean, process, and manage data; build and deploy dashboards and reports (Power BI, Tableau); communicate findings to end users; collaborate with cross-functional teams to translate requirements into analytic solutions.

Monitor and analyze growth metrics across acquisition, activation, engagement, and retention. Build and maintain dashboards and reports, support design and validation of growth experiments, identify drivers of metric changes and anomalies, and collaborate with cross-regional analytics stakeholders to ensure analytical consistency.

Support Feed and Logistics by creating data analysis tools, extracting KPIs from major systems, building QlikView dashboards and reports, performing statistical analysis, and liaising with business stakeholders to meet reporting needs.

Manage measurement programs across multiple clients to evaluate earned media, social, influencer, and integrated marketing performance. Build dashboards, run social listening and competitive analyses, define KPIs, deliver actionable insights and presentations, automate reporting and Slack monitoring, train teams, and support new business with research and measurement recommendations.

Analyze and validate production data from multiple systems (DNA, Salesforce, Encompass), build and maintain dashboards and reports, support users, manage Salesforce/Encompass profiles and permissions, perform QA/testing, collaborate with stakeholders to improve processes, and oversee secure data transmissions to external parties.

Drive end-to-end product analytics for user growth and product strategy: define metrics, design and analyze A/B tests, handle PB-scale behavioral and transactional data, build dashboards, predictive models, and deliver actionable insights to product and business stakeholders.

Lead Avail analytics by building KPI frameworks, automated dashboards, and end-to-end analyses. Partner with stakeholders to define needs, source data, perform ETL/EDA, generate insights, and inform strategy across product, marketing, operations, and finance.

Entry-level Associate Data Analyst supporting analytics, data science, data engineering, and project management rotations. Deliver insights, build dashboards, automate reporting, partner with stakeholders, and apply ML/LLM tools to drive product and client analytics.

Design and maintain dashboards and visualizations, analyze complex court datasets, write and optimize SQL, validate data quality, partner with stakeholders to translate business questions into BI solutions, and advance reporting best practices.

The Web Data Analyst will analyze web performance, optimize marketing strategies, manage tagging, and provide insights to improve user engagement and revenue generation.

Perform data preparation, exploration, and analysis to support supply chain decision-making. Build and maintain reports and dashboards, validate data accuracy, document methods, and collaborate with engineering and stakeholders on ad hoc and recurring analyses.

Analyze reverse logistics data (returns, RMAs, trade-ins) to identify root causes, improve recovery rates, reduce losses, and streamline workflows. Partner with supply chain, retail, finance, and IT to reconcile inventory and financial records, forecast return volumes, report executive-level insights, and recommend process or system improvements tied to device lifecycle and sustainability goals.