Top Data & Analytics Jobs

Analyze data from various company systems; perform correlation and regression analyses; apply strong statistical methods using R, Tableau, and Excel; interpret web analytics to inform insights.

Perform data mining, cleaning, transformation, validation, and analysis. Build and run T‑SQL/MS Access/DB2 queries, create standard and ad-hoc reports (SSRS, Tableau), develop test plans, schedule and deliver reports, identify trends and resolve data issues, and communicate results to stakeholders.

Contract Data Analyst to perform data mapping and database-related work. Requires minimum 3 years database development experience, strong XML skills, ability to learn complex multi-state legacy systems, excellent communication, organization, and attention to detail. Must work independently and clear a background check.

Participate in implementing a new state education data repository: analyze source data, create source-to-target mappings, and develop views and stored procedures. Assist application teams by designing databases from business requirements using enterprise data modeling best practices.

Analyze A/B experiments and large datasets to determine why experiments performed well or poorly. Communicate results to business partners, validate and improve data-driven decision processes, build key metrics and modeling reports, and collaborate with business and engineering stakeholders.

The BI Data Analyst develops database solutions, creates reports, analyzes data systems, and maintains database processes while collaborating with data architects.

The role involves transforming data into insights, conducting analysis, building data models, and collaborating with marketing teams to optimize campaigns. Strong skills in SQL, Python, and data visualizations are essential.

The Performance/Data Analyst III leads advanced analytics, machine learning modeling, ETL development, and reporting for DOJ operational and strategic needs.

Perform advanced data cleaning, statistical analysis, and multivariate modeling to produce dashboards and reports. Translate data into actionable recommendations, lead SDLC tasks, create BRDs, present findings to stakeholders, and mentor junior team members.

The Marketing Data Analyst will analyze healthcare marketing data, linking tactics to patient behavior, and produce actionable insights for clients using advanced analytical techniques and tools.

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.

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.

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 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.

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.

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.

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.

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.