Top Data Analyst Jobs

The Data Operations Analyst manages data integrity and operations, supports data conversion for mergers and acquisitions, and documents policies and processes.

Build and maintain reporting and BI solutions by collecting, validating, modeling, and organizing data. Improve report reliability and efficiency, gather requirements, prioritize requests, recommend data/process improvements, and train users. Support business decision-making with actionable reports and analyses.

The Data Science Analyst will analyze healthcare data, derive insights, collaborate on product design, and document business requirements while supporting revenue cycle optimization efforts.

Support Epic Cogito reporting and third-party data integration: design, build, test, document, and maintain reports/dashboards (RW/Radar/SlicerDicer). Troubleshoot data integrity, provide end-user support, participate in projects and 24x7 on-call rotation, and collaborate with stakeholders to drive analytics-driven workflow improvements.

Senior Data Quality Analyst responsible for source-to-target testing, SQL-based data analysis, running Informatica workflows, validating ETL results, owning QA/test issues, and collaborating with technical teams to ensure data accuracy and integrity.

The Senior Data Analyst role involves data collection, analysis, dashboard creation, and collaboration with various teams to inform business decisions and optimize processes.

The Senior Data Analyst will own analytics projects, design data models, build dashboards, and deliver insights using SQL and various BI tools.

The role involves interpreting, validating, and structuring private equity investment data, collaborating with teams, and communicating with investment managers, while improving internal processes and data standards.

The Senior Data Analyst will manage client-facing analytics, build dashboards, partner with Customer Success, and leverage AI tools for reporting.

The Data Support Analyst will provide support for project tools and data, manage project financials, and prepare management reports.

The Sr. Data Analyst maximizes revenue through dynamic pricing strategies, utilizing statistical modeling and machine learning to forecast revenue and customer demand. Responsibilities include managing pricing mechanisms, collaborating across teams, and structuring data for analysis.

Design, build, and maintain Power BI dashboards and semantic models using DAX and RLS. Write complex T-SQL against Azure SQL, analyze and tune reports, ensure data quality with data engineers, translate business needs into measurable analytics, and support stakeholders across operations, finance, and sales. Contribute to analytics process improvements, governance, and team workflows.

The Sr Data Analyst will analyze customer data to provide insights, visualize metrics, and collaborate with teams to optimize strategies. Responsibilities include maintaining analytic tools, conducting ad hoc analyses, and identifying data anomalies.

Lead analytics efforts by designing, validating, and deploying queries and reports, building visualizations, automating data processes, partnering with stakeholders including C-suite, documenting processes, performing root-cause analysis, and supporting projects across business, operations, and risk. Responsible for data warehousing practices, SQL/Python work, BI tool administration, and delivering insights to drive decision-making.

The Data and Reporting Analyst will perform data analysis, develop reports and visualizations, ensure data accuracy, and present insights to stakeholders to improve customer experience operations.

Lead healthcare analytics work using claims and product data: calculate PMPM and utilization metrics, validate data refreshes, design data models and algorithms, build Looker dashboards, and document/train stakeholders. Serve as a healthcare data SME collaborating with clinical, operations, and finance teams.

The Senior Data Analyst will develop advanced Power BI dashboards, perform complex analyses using SQL and Python, mentor junior analysts, and ensure data quality governance.

Lead customer-facing analytics: build dashboards, reports, and POCs that demonstrate ROI and utilization trends for healthcare provider data. Collaborate with data science and engineering on advanced models, assess and integrate new data sources, ensure data quality, and support presales and executive-facing storytelling.

Maintain and optimize Google Cloud-based analytics marts, ensure data integrity and quality, analyze datasets to inform business decisions, support UAT and incident resolution, collaborate with cross-functional teams, promote data governance and literacy, and mentor junior analysts to advance enterprise analytics and trusted data assets.

The Senior Data Analyst at Orion180 will develop data pipelines, implement predictive models, and create visualizations while collaborating across teams to improve decision-making and insights.

Perform high-volume data entry and document classification for investment funds, file and process emails using a filing system, analyze vendor feeds, manually price instruments, establish fund mappings, validate data quality, and support ad-hoc data requests and lookup inquiries.

The Senior Data Analyst will develop SQL pipelines to automate workflows, create dashboards, analyze financial data, and support leadership with insights.

Support CBP's Advanced Trade Analytics Platform by preparing and analyzing datasets, performing ETL, validating data, developing reports and dashboards, assisting data scientists with modeling, and communicating findings to stakeholders.

Lead data quality and reporting for complaints and servicing systems: cleanse and validate data, build reports and dashboards, perform advanced statistical analyses, automate data extraction, maintain databases, and collaborate with stakeholders to surface actionable insights and process improvements.

The Senior Data Analyst will analyze performance data, identify trends, and provide insights to improve organic search performance for clients, working closely with cross-functional teams.