Top Data & Analytics Jobs in Columbus, OH

The Sr Business Analyst will develop requirements for Master Data Management RFP, collaborate with technical and business teams, document data standards, and assist in implementation and training efforts.

The role involves data analysis, comparing data across different systems, and making informed business decisions with minimal supervision.

Design, build, and maintain SQL-based reporting and BI features; create test plans and documentation; optimize report performance; perform triage and bug fixes; lead technical improvements; mentor junior staff; collaborate with product and cross-functional teams to deliver customer-facing analytics and reporting solutions.

Leads data analysis, modeling, governance, integration, migration, and cloud data architecture initiatives. Designs Azure data lakes and warehouses, develops ingestion pipelines and BI solutions, optimizes data quality and scalability, and supports reporting and actionable insights. Leads data engineering and analytics teams, reviews code, mentors staff, and develops CI/CD solutions using Bamboo, Azure DevOps, and Bitbucket. Collaborates with stakeholders to translate business needs into technical requirements and solutions.

Designs, builds, tests, and documents scalable data solutions and pipelines for CMS healthcare fraud, waste, and abuse initiatives. Responsibilities include data warehouse development, CI/CD deployment, orchestration, data quality, governance, AWS-based automation, testing, architecture support, and technical leadership. The role partners with analysts and business stakeholders, leads project initiatives, improves workflow automation, and ensures requirements and milestones are met.

Develops scalable data and software systems using Python and Apache Spark. Designs APIs, data models, ETL workflows, orchestration, and data interactions while optimizing performance, scalability, integrity, and security. Builds user interfaces, contributes to automated testing, applies Agile practices, and supports CI/CD delivery. The role requires strong software engineering, distributed computing, analytical, and communication skills, with AWS, R, Databricks, and SAS experience preferred.

Leads advanced analytics for Tribal healthcare initiatives, including data resource inventories, quality assessment, linkage analysis, predictive and prescriptive modeling, dashboards, and management reporting. Develops data standards, quality frameworks, automation, and infrastructure strategies while ensuring federal compliance. Coordinates cross-functional analytics projects, supports healthcare quality measures, mentors junior staff, and promotes data-driven decision-making using Python, R, SQL, statistical methods, and machine learning.

Provides senior database administration and engineering for Navy MFOM application and infrastructure environments. Responsibilities include database design, implementation, testing, maintenance, upgrades, security, performance, backup and recovery, modernization, cloud integration, incident resolution, and technical documentation. Coordinates database changes and risks across software, systems, infrastructure, cybersecurity, and government stakeholders while providing technical leadership and continuity for mission-critical database operations.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design, build, and maintain Keboola-based data pipelines integrating multiple business systems to deliver accurate, scalable data for supply chain, logistics, and transportation analytics; collaborate with analysts and engineers; support documentation, governance, and pipeline automation.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Designs and builds enterprise-scale Azure lakehouse platforms for claims data using Databricks, Spark, Delta Lake, PySpark, and SQL. Responsibilities include developing Medallion Architecture, ETL/ELT pipelines, data models, governance, access controls, lineage, performance optimization, CI/CD, and production support. The role translates business and data requirements into technical designs while partnering with engineers, analysts, and stakeholders.