Top Data & Analytics Jobs

Lead HR people-analytics efforts by turning HR data into actionable insights. Design dashboards (Tableau/PowerBI), build/validate data models, collaborate with HR and business partners, document data assets, and communicate findings to drive workforce strategy and process improvements.

Perform business analyses, develop hypotheses, build and maintain dashboards in Sigma, support forecasting and budgeting, perform data quality checks, and advise stakeholders to drive data-driven decisions across Growth, Product, Insurance, Finance, and Executive teams.

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.

Support extraction, querying, and analysis of DMLSS/LogiCole logistics and supply chain data. Build data models, automate ETL with Excel/Power Query, reconcile financial/logistics data for AFWCF audit, respond to auditors, merge/clean disparate DoD datasets, and design scalable dashboards and reports for leadership.

Support extraction, querying, and analysis of Defense medical logistics data (DMLSS/LogiCole). Build data models, automated ETL in Excel/Power Query, reconcile financial/logistics data for AFWCF audit, respond to auditors, merge/clean legacy DoD datasets, and design scalable dashboards and reports for leadership.

Support federal program by collecting, validating, analyzing, and reporting data. Maintain data dictionaries and metadata, develop dashboards and recurring reports, identify and resolve data quality issues, and collaborate with stakeholders to translate business needs into analytical products. Support continuous improvement and documentation of data processes.

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.

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

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.

Perform operational and management audits, evaluate internal controls and compliance, analyze large datasets to assess policies and performance, identify risks and inefficiencies, audit vendor/contract compliance, verify statistical data, and draft and present audit findings with recommendations.

Maintain and reconcile pipeline data across CRM/PRM systems, perform data validation and cleanup, document data flows and business rules, build dashboards and reports, support UAT and end-user training, and recommend data process improvements to improve pipeline visibility and reporting.

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.

Lead strategic scenario modeling and automation for supply chain planning, linking demand, manufacturing, inventory, capital, and financial outcomes. Provide executive decision support, build scalable reporting and self-service dashboards, partner with IT/data engineering to automate workflows, mentor analysts, and influence cross-functional leaders with data-driven recommendations.

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.

Design, build, and maintain Databricks-based data platform and ETL/ELT pipelines. Collaborate with stakeholders, implement data quality checks and testing, monitor pipeline performance, document architecture, and coordinate cross-functional teams.

Manage, clean, validate, and analyze quantitative and survey data using SAS, R, and SPSS. Generate reports, data retrievals, summary outputs, surveillance reports, and presentation graphics. Review programs, error logs, variable definitions, weights, and data quality; document corrections and ensure protocol compliance. Merge data from multiple sources, support stakeholder reporting, and assist with data management processes and protocols.

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 engage with Supply Chain teams to analyze data needs and deliver analytics solutions, supporting product lifecycle using agile methodologies. Key responsibilities include defining business requirements, ensuring solution value, and maintaining strong stakeholder communication.

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.