Top Senior Data & Analytics Jobs in Columbus, OH

Implement and configure Teradata solutions and modules across the full systems development life cycle. Collaborate with users to design complex application systems, run workshops and meetings, and adapt software packages to business needs. Provide problem-solving, negotiation, and team-building skills in a fast-paced environment.

Design, build, and maintain scalable ETL pipelines and data integration solutions using SQL Server, SSIS, and Azure Data Factory. Lead logical and physical data modeling, create data marts and operational stores, ensure data quality and governance, optimize ETL performance, and collaborate with stakeholders to translate business needs into enterprise data solutions.

Lead development of annual market models, conduct deep-dive market and customer analysis, create measurement plans, build and maintain datasets and Power BI dashboards, present insights to senior leadership, track market share, and drive cross-functional alignment for strategic initiatives.

Design, build, and maintain scalable cloud data pipelines and warehousing/lake solutions. Advise customers on best practices, lead technical design, mentor engineers, and collaborate with stakeholders to deliver supportable data engineering solutions across cloud platforms.

Lead the Business Insights team to set analytics roadmap and KPI standards, own reporting architecture and data quality, manage analysts, and deliver end-to-end analyses across pricing, inventory, shipping, conversion, workforce, and sales. Own QBR materials, present business cases to senior leadership, and collaborate with Application Development to improve data pipelines and tooling. Hands-on work using SQL, R/Python, and advanced Excel/Google Sheets modeling.

Lead design and delivery of enterprise MDM/PIM solutions, architecting data models, integrations, governance, and data quality to produce AI-ready datasets. Advise clients, mentor teams, deploy platforms (Informatica, Stibo, Reltio, Syndigo), integrate with cloud data platforms, and ensure metadata, lineage, and testing for reliable analytics and AI use.

Lead quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

The Senior Data Architect will design and implement data architecture strategies, integrating Oracle EBS with cloud services, overseeing data governance, and collaborating with cross-functional teams to optimize data workflows.

Build and operate AndHealth's data ingestion, transformation, and warehouse infrastructure. Own scalable, idempotent pipelines, data quality and observability, orchestration and SLAs, BigQuery performance and cost optimizations, healthcare source integrations, HIPAA-compliant security, and platform-level data contracts and runbooks.