Top Data & Analytics Jobs

Analyze and optimize a two-sided healthcare marketplace through health metrics, root-cause analysis, cohort modeling, dashboards, and decision-support analytics. Partner with Demand, Supply, Operations, Product, Data Engineering, and Data Science leaders to guide capacity planning, provider onboarding, market expansion, and operational strategy. Build scalable analytics models and reporting infrastructure while translating complex data into executive recommendations.

Build and maintain healthcare data ingestion pipelines and dbt transformation models in Snowflake. Contribute to fact and dimensional modeling, semantic-layer development, data quality troubleshooting, pipeline reliability, and governed reporting. Collaborate with engineers, analysts, and stakeholders to translate requirements into technical data structures. Use AI-assisted development tools while following testing, documentation, security, SDLC, and change-management practices.

Support and administer a PostgreSQL environment hosted in Azure. Responsibilities include database and table design reviews, performance monitoring and tuning, backup and recovery, replication, security and user management, scripting, code reviews, disaster recovery, and on-call emergency support. The role collaborates closely with software engineers and participates in an on-call rotation.

Designs, develops, tests, deploys, and monitors scalable data pipelines using Azure Data Factory, Databricks, Python, SQL, and dbt. Integrates source systems with data warehouses and other platforms, automates data processes, improves infrastructure scalability, and supports data migrations during mergers and acquisitions. Ensures data security, privacy, retention, and effective enterprise data management.

Develop and maintain Power BI reports, semantic models, dashboards, and DAX/Power Query logic. Write SQL queries against Snowflake, support data modeling and quality, and implement governance, security, access controls, and documentation. Build workflow automations with Microsoft Power Platform and SharePoint, explore AI-enabled capabilities, and collaborate with stakeholders to translate business needs into analytics solutions. Communicate insights, lead training, and support adoption of analytics products.

Develop and maintain business intelligence reporting, analytics solutions, KPIs, data products, and stakeholder tools. Write SQL and T-SQL, transform data from internal and external systems, analyze data quality, automate processes, document procedures, and manage multiple projects. The role requires collaboration with technical and business stakeholders and is primarily on-site in Nashville, with a hybrid schedule available after onboarding.

Perform data quality assessment, analysis, and visualization; build reports, dashboards, and predictive models; query relational databases; identify trends and process improvements; present ad hoc analyses to management and support reporting automation for sales and customer engagement.

Manages series metadata and related bibliographic data for collection development and cataloging. Responsibilities include researching and verifying titles, updating Oracle datasets, assigning classifications and subject headings, maintaining series and contributor tables, correcting data, and supporting workflow improvements. Provides subject matter expertise on series, genres, formats, age ranges, and related cataloging elements while collaborating on cross-functional projects.

Conduct channel and customer research by mapping expert markets, sourcing and vetting distributors and customers, recruiting experts, coordinating interviews, creating interview guides, monitoring calls, documenting insights, and maintaining compliant CRM records. The role combines investigative research, outreach, stakeholder relationship management, interview facilitation, and rapid project execution across priority industry verticals.

Build and modernize scalable data tools, infrastructure, and pipelines using Python and SQL. Troubleshoot data quality issues, move and transform data across systems, validate workflows, and support reliable data operations. Collaborate with engineers and stakeholders while learning data engineering best practices and using AI-enabled development tools. The internship is full-time and on-site Monday through Thursday in Omaha, with remote Fridays.

Summer 2027 fintech internship applying SQL, data analysis, business process analysis, requirements gathering, and data mapping to financial processes and enterprise systems. The intern will support reporting, investigate business problems, collaborate with finance and technology teams, and learn Gallup’s Oracle environment. This is a 40-hour-per-week, 12-week, primarily on-site role in Omaha, with possible part-time work during the school year.