Top Data Analyst Jobs

The Workday Data Analyst will support Workday deployments, perform data conversion, and assist with various project roles, including analysis and testing.

Lead a small analytics team to produce data-driven insights for marketing and media optimization. Mine proprietary datasets, apply statistical methods, forecast KPI impacts, monitor business metrics, and act as liaison between business and technical teams to drive profitable media and client growth.

Build and maintain the product analytics data foundation: design scalable dbt models, define semantic models and governed metrics, partner with Engineering on instrumentation, certify datasets for BI tools, monitor pipelines and data quality, and use AI to accelerate analytics engineering workflows.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Build the analytics layer for Confido and customers: design dashboards, define KPIs, write complex SQL for large financial and operational datasets, surface insights, drive analytic projects, and collaborate with product and engineering to improve data models.

Support CBP asset management by documenting processes, analyzing operational data, identifying gaps, and translating stakeholder needs into requirements. Develop reports, dashboards, briefings, and recommendations; support automation, data quality, governance, and project coordination.

Design and maintain dashboards and reports, perform deep-dive analyses to identify trends and anomalies, ensure data integrity with engineers and data scientists, automate reporting, and translate complex datasets into clear insights for non-technical stakeholders.

Participate in projects to improve and standardize technology operations. Collaborate with cross-functional teams to redesign processes, document improvements, create dashboards and reports, analyze data trends, and identify automation opportunities to increase operational effectiveness and adoption of shared tools and practices.

Own analytics for Customer Success and Operations by translating ambiguous business questions into metrics, reports, dashboards, and PRDs. Partner with senior leaders, CSMs, Analytics Engineers, and Operations teams to improve retention, permit turnaround, and organizational scalability. Build self-service dashboards, develop dbt models, document analytics assets, prioritize high-impact requests, and use LLM tools to accelerate SQL, reporting, and data-model development.

The Data Analyst will automate solutions for data analysis, collaborate with technical teams, design ETL packages, and generate reports.

Collect, analyze, and model operational data to identify problems and recommend solutions. Follow established evaluation processes, lead or direct others as needed, and use judgment to plan and accomplish goals. Support verification and clearance processes as required by government contracts.

Owner of Support Operations analytics: build and maintain dashboards and recurring reports, track cSAT/TTR/QA/escalations, instrument Zendesk, connect support to product/customer data, design feedback loops, measure AI-driven support impact, quantify cost of bugs/features, and support ad-hoc analysis for leadership.

Own support analytics for User Operations: build dashboards and recurring reports, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support to product/customer data, quantify operational costs of bugs, and measure AI-driven support performance.

Own support analytics for User Operations: build recurring reports and self-serve dashboards, track north-star metrics (cSAT, TTR, QA, escalations), instrument Zendesk, connect support data to product/customer sources, quantify operational cost of bugs, measure AI-driven support impact, and deliver ad hoc analyses to inform Product, Engineering, and leadership.

The Data Analyst role involves utilizing SQL and Python for data integration, analyzing national security issues, and presenting insights to clients, requiring travel to client sites.

Provide 24/7 completions data support: enter and QAQC frac and wireline data, build and maintain dashboards, communicate with customers, test staging systems, produce daily reports, identify anomalies, and improve operational procedures.

Support hypersonic vehicle test programs by collecting, cleaning, analyzing, and visualizing test data; develop test plans and analysis methodologies; participate in design and readiness reviews; coordinate with engineering teams and customers; and support test execution and post-test data reviews.

The Business Analytics Associate analyzes marketing channel performance and client retention, presenting actionable insights to enhance company goals and KPIs.

Own analytics for the clinician lifecycle, from recruiting and credentialing through performance, quality, retention, and business impact. Build operational scorecards, predictive retention models, licensing dashboards, and transcript-based empathy scoring frameworks using SQL, Python, BI tools, NLP, and LLMs. Partner with clinical, quality, operations, talent, product, and executive stakeholders to connect clinician behaviors and outcomes with patient retention, NPS, compensation, training, and workflows.

Eight-week client-facing analytics internship involving large datasets, customized analyses, advanced statistical models, and model development or validation. The analyst will collaborate with consulting teams and clients, summarize and document findings, and present client-ready solutions. Candidates should have quantitative academic backgrounds, experience with R, SQL, and Python, strong communication and teamwork skills, and unrestricted U.S. work authorization.

Partner with cross-functional teams to design experiments, analyze large datasets, build dashboards and metrics, identify trends and customer behaviors, improve data quality and instrumentation, and provide actionable recommendations that drive strategic decisions and operational improvements.

Transform clinical, operational, and financial data from EHR, PM, and oncology systems into dashboards and reports. Build and maintain ETL pipelines and standardized datasets, analyze revenue cycle, clinical quality, and service-line performance, and deliver actionable insights to physicians, executives, and operational teams to improve efficiency, financial outcomes, and patient care.

Perform performance analytics, reporting, and customer segmentation for sportsbook generosity campaigns. Analyze customer behavior and promotional engagement, build hypotheses, validate data quality, maintain reporting, create clear visualizations, and collaborate with stakeholders to optimize campaign performance. Use SQL and Excel daily and leverage AI responsibly to accelerate analysis.

Build and maintain revenue and customer-lifecycle reporting, author complex BigQuery SQL, develop segmentation and clustering models in BigQuery ML, perform entity resolution and data quality reconciliation, migrate and maintain Tableau dashboards, and deliver ad-hoc and recurring analyses to support Sales, Revenue, and cross-functional teams.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.