Top Data Analyst Jobs

Lead marketing analytics and root-cause investigations across the B2B SaaS funnel. Maintain data integrity and dashboards, monitor integrations (Marketo, Salesforce, 6Sense, Snowflake), quantify impact of trends, and recommend corrective actions. Architect and train AI/agent-driven analytics (Ask Anything), build semantic layers in Sigma/Snowflake, validate agent outputs, and partner with Revenue Marketing and Strategy teams to drive data-backed decisions and mentor junior analysts.

As a Data Analyst Intern at Integra, you will analyze fraud, automate processes, and work with large datasets using R, Python, and SQL.

As a GTM Data Analyst, you will provide insights for upper funnel initiatives, measure brand marketing effectiveness, analyze engagement, and collaborate cross-functionally for informed marketing strategies.

Analyze and interpret complex data sets to produce reports and visualizations that inform business strategy. Monitor and investigate data quality issues, document resolutions, support governance and audits, and collaborate with data engineering and product teams to translate business requirements into technical specifications and timely data products.

As a Data Technologist, you manage client data intake, sanitization, and organization, collaborating with engineering teams to ensure accurate data processing and quality assurance.

As a Senior Data Analyst, you'll define analytics strategies, implement data infrastructure, perform analyses, and leverage AI to enhance decision-making across the organization, focusing on personalized coaching outcomes.

The Data Analyst II will manage and analyze international partner and wholesale data, build dashboards, and collaborate with stakeholders to improve reporting and data integrity.

The Data Analyst supports the Air National Guard by managing data procedures, assisting in analysis, developing data pipelines, and creating visual reports.

The Product Data Analyst leads data collection and analysis to inform product strategy, collaborates across teams, and ensures data integrity for decision-making in product management.

Track and analyze logistics and IT/hardware/software assets in a warehouse environment. Gather and merge data from disparate systems, produce reports and metrics, support inventory management, scheduling, and supply forecasting. Coordinate with business and technology teams, execute user acceptance/testing, and master tools used to run warehouse and asset-tracking processes.

Translate business needs into BI/analytics/reporting requirements; design, build, and maintain metrics, dashboards, reports, and databases; analyze issues and recommend process improvements; train users on visualizations; support integrations, data integrity, and documentation; collaborate with operations to drive data-driven decision making.

Support creation, maintenance, and quality of master data across ERP and business systems. Perform data validation, cleansing, governance, integrations monitoring, reporting, documentation, project testing, and basic end-user support.

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.

Analyze manufacturing, warranty, vehicle, and customer feedback data to detect and forecast quality issues, build predictive models, and deliver actionable insights. Develop analytics methods, support deployment of advanced solutions, and collaborate with cross-functional teams to improve product performance and customer satisfaction.

Design, develop, and support analytics, dashboards, and reports by extracting and blending data from data warehouses and external sources. Perform statistical analysis, validate datasets, translate business requirements, and deliver actionable forecasts and decision-support solutions.

Perform advanced web analytics to evaluate marketing and product performance using SiteCatalyst. Query and analyze data with SQL, present insights to stakeholders using Excel and PowerPoint, and collaborate with business partners to drive data-informed decisions. Contract role, SiteCatalyst certifications and Netezza experience preferred.

Lead complex healthcare data analysis and profiling across disparate sources to create source-to-target mappings, rewrite/redirect BI reports and semantic data views, gather and document business/technical requirements, and lead the work unit to ensure transformed reports meet business needs.

Senior Data Analyst with 7+ years experience performing data profiling and analysis, strong SQL/Oracle skills, and required healthcare or life sciences domain expertise. Responsible for analyzing data quality, profiling datasets, querying for insights, and communicating findings. 6-month contract; strong communication skills required.

Perform data analysis and data warehousing tasks, develop and maintain SSRS reports and Business Objects artifacts, write and optimize T-SQL, execute testing, and apply healthcare domain knowledge. Contract role with strong communication skills required.

Perform data analysis and collection to meet IHC/CCAR regulatory requirements, source and enrich data, manage provider relationships, develop business specifications, and act as single point of contact for IHC projects.

Support FBI investigations by collecting, reconciling, and analyzing information from multiple sources; maintain case files and databases; prepare reports and status updates; perform word processing and coordinate requests to ensure deadlines and accuracy.

Extract, manipulate, and analyze data from multiple systems to produce regular and ad-hoc reports; build statistical models, summarize findings, and recommend process improvements while collaborating with cross-functional teams.

Collaborate with clinical and business teams to design, customize, and optimize Netsmart MyEVOLV and cross-system BI solutions. Build automated data workflows, reports, and dashboards using Power BI/Power Platform and M365, ensure HIPAA and NIST compliance, document requirements, and support AI/automation integration to improve operational and clinical decision-making.

Design and deliver analyses, visualizations, and dashboards to translate complex sales and distribution data into actionable insights. Build and maintain sustainable data products, ensure data accuracy, and manage recurring reporting. Partner with stakeholders to define requirements, lead projects to delivery, and support compensation, lead generation, and performance evaluation initiatives.

Support Finance modernization by translating stakeholder needs into BI and automation solutions. Develop and maintain analytics, reports, and low-complexity automations; ensure data quality; support UAT and deployments; provide post-deployment support, documentation, and training; and apply continuous improvement practices to Finance processes.