Top Data Analyst Jobs

Forecast, allocate, and optimize operations headcount through financial and probabilistic models, dashboards, and data analysis. Partner with Operations, Recruiting, and Finance to align staffing, vendor strategy, and budgets, monitor workforce KPIs, automate reporting, and present strategic recommendations to senior leaders.

Evaluate and profile data from legacy and disparate systems to assess quality, completeness, and consistency; identify gaps and anomalies; recommend remediation and readiness actions for system modernization and migration; document findings; and collaborate with technical and program stakeholders to improve data usability for reporting and analytics.

Partner with product, engineering, and business teams to build end-to-end analytical frameworks, data models, and pipelines. Produce dashboards and deep-dive analyses to monitor platform usage and performance, define and validate metrics, drive data governance, and deliver strategic recommendations. Mentor junior analysts and ensure reporting accuracy and analytical rigor across the organization.

Lead and support actuarial data projects: investigate and extract data, validate reports, address data quality, modify SQL/SAS/4GL programs, produce tabular/graphical outputs, communicate results, coach team members, and participate in project leadership and data-system decisions.

Validate data quality, accuracy, and integrity by developing and executing test plans, creating SQL scripts to build and check datasets, validating reports, designing automated Microsoft-based test scripts, and supporting UAT while communicating data issues to stakeholders.

Lead business-technology alignment for enterprise data solutions: capture and document requirements, map source-to-target data flows, implement data quality rules and dashboards, integrate with the business glossary, automate processes, and create Power BI visualizations to present analytic recommendations.

Manage, clean, and analyze program datasets to support the TARS program. Produce dashboards and reports (Excel, Power BI, Tableau), ensure data quality and governance, develop SOPs, support audits and ad hoc requests, and collaborate with stakeholders to inform decision-making.

Perform advanced data extraction, transformation, analysis, and visualization to deliver actionable, equity-centered insights. Build reports, dashboards, and data products; collaborate with data engineering and cross-functional partners; maintain data quality, documentation, and models; communicate findings to stakeholders and support team development.

Lead data governance for a major enterprise platform migration: liaise with stakeholders, profile and map data, define standards and business rules, validate ETL/MDM mappings, document metadata and lineage, and support data quality and governance processes throughout migration and post-implementation.

Lead analysis of acquisition and investment data for DHS/DoD clients: collect, integrate, model, and visualize data; develop reports, dashboards, databases, and statistical analyses using Python, R, SQL and BI tools; produce written deliverables and recommendations to support programmatic and investment decisions.

The Data Management Analyst will support data operations, assist in process improvements, monitor project milestones, collaborate with teams, and facilitate knowledge sharing.

Lead cross-functional analytics to collect, validate, analyze disparate datasets, generate actionable insights, and deliver executive presentations and production-ready solutions while ensuring data quality and stakeholder prioritization.

Transform operational and financial data into actionable insights to support vaccine purchasing programs. Build dashboards and reports, monitor manufacturer contract compliance, analyze purchasing and enrollment trends, support revenue optimization and rebate/commission reporting, maintain Salesforce data integrity, and drive process improvement and automation across cross-functional teams.

Support accounting and finance data needs by connecting and reconciling data across systems, building and maintaining reporting and analytical tools, enabling month-end close and audit deliverables, and partnering with data engineering and finance teams to improve automation, accuracy, and financial reporting.

Support UK (and wider) operational and asset teams by building consistent KPIs, reports and analyses to improve NOI and customer outcomes. Champion AI tools to automate reporting, build AI-powered reporting assistants, and accelerate QA. Provide data gathering, financial and leasing analysis, systems requirements/testing, and support acquisitions, budgeting and operational performance improvements.

The Data Product Analyst will own Signals data products, work with AI and Data Engineering, ensure data quality, conduct analyses, and shape product improvements through client feedback.

The Data Collector/Analyst will collect, validate, and analyze test data from border security systems, performing statistical analysis and supporting evidence-based recommendations.

Manage ESG data collection, validation, and external disclosures; act as business owner for the ESG reporting platform, support platform implementation, maintain controls and documentation, produce reporting and analytics, support ratings submissions, and improve data governance and reporting workflows.

The Sr. Data Quality Analyst will focus on data testing, analysis, and SQL skills, with expertise in Informatica and collaborative problem-solving.

Ensure accuracy, completeness, and consistency of subscription data across systems. Collaborate with data engineering and analytics to identify and resolve data quality issues, lead process improvements, and support data governance efforts.

Annotate and label images and video from humanoid robots using proprietary tools, collaborate with ML engineers on guidelines, flag edge cases, maintain quality and throughput, and provide feedback to improve workflows.

Design, build, and maintain scalable data pipelines and platforms for banking data. Collaborate with teams to ensure secure, reliable data products.

Lead detection, triage, and resolution of processing errors to protect compliance and finances; manage daily error queues; draft technical specifications and test plans; validate and reconcile data using intermediate-to-advanced SQL; maintain documentation and knowledge base; coordinate cross-functional delivery of crop insurance requirements; provide responsive customer support and drive automation/improvement initiatives.

Lead stakeholder engagement and translate strategic objectives into data and analytics initiatives. Define requirements, business rules, solution scope, and acceptance criteria; coordinate delivery, testing, deployment, and change management; support data governance and ensure solutions deliver measurable business value for sustainability and landfill operations.

Lead liaison between business and technology for Data Services, translating strategic objectives into data, analytics, and reporting initiatives. Drive requirements gathering, solution design, prioritization, testing, delivery coordination, and adoption while partnering with Data Engineers, Architects, Governance, and Finance/HR stakeholders to ensure measurable business value.