Top Data Analyst Jobs

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Build and maintain the company’s data warehouse, ELT/ETL pipelines, data models, metric definitions, dashboards, reporting, and data quality governance. Partner with leadership and cross-functional teams to answer strategic questions and enable data-driven decisions. This role is the company’s first data hire and will establish the foundational analytics architecture and practices.

Serve as the senior analytics partner to Merchandising and commercial teams. Identify and prioritize revenue, margin, inventory, and customer opportunities; translate ambiguous questions into rigorous analyses and measurement plans; guide experimentation and causal inference; define data requirements; and partner with engineering, BI, and analytics teams to operationalize solutions. Communicate insights to senior leaders, establish analytical standards, and enable merchandising teams to make data-driven decisions.

Develops data-driven solutions, reports, dashboards, visualizations, and analytical models for a managed healthcare organization. The role validates data, improves processes, automates tasks, establishes data lineage, integrates diverse healthcare data sources, and presents actionable findings to business partners. It also explores AI and machine learning technologies, supports quality and operational improvements, and collaborates with informatics teams while working independently on multiple initiatives.

Analyze structured user and business data to identify trends, patterns, anomalies, and behavioral insights. Build and maintain dashboards, perform segmentation and cohort analysis, audit data quality, and produce clear reports for internal and client stakeholders. The role requires translating technical findings into actionable business strategies while collaborating with technical and non-technical teams.

Supports the enterprise data governance program by monitoring data quality, managing issues, maintaining data catalogs and metadata, documenting data lineage, and collaborating with data owners and stewards. The role also supports regulatory audits, risk assessments, governance controls, and cross-functional data modernization initiatives. Responsibilities include applying automation and AI-assisted tools to improve governance workflows, data discovery, analytics, and compliance.

Analyzes customer, marketplace, product, financial, merchant, and transaction data to identify trends, risks, and growth opportunities. Builds analytical frameworks for new products, markets, and strategic initiatives; validates data sources and metrics; investigates anomalies; and develops actionable recommendations. Communicates insights through dashboards, presentations, and concise storytelling to senior executives, cross-functional leaders, and the Board. Partners with Product, Engineering, and Data teams to improve decision-making and uses emerging AI tools to accelerate analysis.

Leads grants-management data analysis, reporting, database administration, testing, and visualization for an Office of Head Start client. Integrates multiple data sources, develops dashboards and reports, translates findings into visual stories, supports grant tracking and quality control, trains colleagues and grantees, and coordinates functional and technical teams. The role also supports grant-system administration, application screening, funding activities, correspondence, closeout, and process improvements.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; support data validation, testing, training, and process improvement. The role also supports pre- and post-award Head Start grants activities, including reporting, metrics quality control, application screening, funding slates, correspondence, and closeout functions.

Analyze and integrate grants management data from multiple sources; maintain databases and systems; develop reports, presentations, dashboards, and visual data stories; lead data validation, testing, documentation, and process improvement; support federal grants activities, trainings, reporting, and system administration for the Office of Head Start.

Leads grants management data analysis, reporting, database administration, testing, and visualization for an Office of Head Start client. Integrates data from multiple sources, maintains grants databases and systems, develops dashboards and reports, translates findings into visual stories, supports training and process improvements, and assists with pre- and post-award grant activities. The role requires onsite work, federal systems access, Public Trust clearance, and 10% local and regional travel.

Analyze and integrate federal grants management data from multiple sources; maintain databases and systems; develop reports, dashboards, presentations, and visual data stories; conduct testing, validation, quality control, and process improvement; support grant administration, training, documentation, and stakeholder coordination for the Office of Head Start.

Analyze and integrate grants-management data from multiple sources; maintain databases and systems; create reports, presentations, dashboards, and visual data stories; test and improve workflows; support data validation, reporting, training, and federal Head Start grant activities. The role serves as a liaison between functional and technical teams and requires onsite work, Public Trust clearance, and 10% local and regional travel.

Own the Palantir Foundry platform from a finance perspective, developing data pipelines, integrations, ontologies, applications, and interactive dashboards. Troubleshoot data and system issues, document reverse ETL flows and technical specifications, and improve business processes through automation. The role requires experience with data visualization, Databricks or similar platforms, PySpark, TypeScript, NetSuite integrations, and data analysis.

Analyze business strategies to support revenue growth, expense management, and risk mitigation. Extract, manipulate, and visualize data across platforms; collaborate with business partners; and present findings and recommendations to leadership and stakeholders. The intern will complete individual and group projects during a three-month, 40-hour-per-week summer internship based at headquarters in Strongsville, Ohio.

Develop and maintain data pipelines, transformations, analytical workflows, dashboards, and user-facing applications using Palantir Foundry and related technologies. Analyze, clean, integrate, and validate data; develop queries and scripts; support data modeling, testing, documentation, and deployment. Collaborate with stakeholders and technical teams to translate requirements into practical solutions, troubleshoot data issues, and apply user-centered UX/UI principles. Minimum qualifications include two or more years of relevant technical experience and proficiency in Python, SQL, and JavaScript or TypeScript.

The Senior Data Analyst transforms complex mortgage, financial, and operational data into actionable insights for the Mortgage Partnership Finance program. Responsibilities include portfolio and risk analysis, forecasting, dashboard and scorecard development, automated reporting, data validation, governance, and executive presentations. The role collaborates with Risk, Finance, Business Intelligence, Data Management, Member Services, and Mortgage Operations teams while mentoring junior analysts and interns.

Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.

Develop and maintain reusable finance data products, reporting solutions, data models, and visualizations for Global Finance. Translate business requirements into scalable solutions, support product lifecycles, resolve issues, manage delivery workstreams, and communicate insights to technical and business stakeholders. Partner with finance and technology teams to improve reporting, operational problem-solving, and data-driven decision-making.

Design, build, and maintain Power BI and Tableau dashboards; analyze large, complex datasets using SQL, Python, and statistical methods; partner with data engineering and business stakeholders to ensure data quality; translate findings into clear, actionable stories and executive-level presentations; support firmwide analytics growth and automation.

Partner with Product, Engineering, and Design to own product analytics: define success metrics, build data models and dashboards, validate launches, monitor products, run deep-dive analyses, design experimentation, audit tracking across web and mobile, and develop AI-enabled analytics workflows to surface insights and measure product performance.

Lead development and delivery of BI dashboards and reports, architect scalable BI systems, ensure data quality and governance, perform advanced analysis and forecasting, provide strategic recommendations, establish standardized data models, mentor junior analysts, and communicate insights to stakeholders to inform business decisions.

Supports enterprise data programs involving master and reference data, data governance, stewardship, lifecycle management, quality, reporting, analytics, and modernization. Analyzes data, processes, requirements, and stakeholder needs; documents business requirements and data definitions; partners with business, technology, and data teams; and contributes to reporting, process improvements, platform enhancements, and cross-functional initiatives. This is an 18-month early-career program for students graduating in May 2027.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Performs business analysis and quality assurance for Murex data management initiatives in investment banking. Responsibilities include clarifying requirements and field definitions, validating data integrity and sources, running SQL analyses, documenting process flows and specifications, supporting testing and UAT, and assisting with data migration to Snowflake. The role collaborates with business and technology stakeholders to define controls, remediate issues, and support system implementation.