Top Senior Data & Analytics Jobs in Columbus, OH

Analyzes and validates enterprise data, develops SQL reports and Power BI dashboards, supports data migration and customer implementations, administers web platforms, troubleshoots integrations, and provides actionable insights while maintaining data integrity, security, and process documentation.

Develop and maintain data lake and data mart architecture, translate client requirements into migration plans, extract and migrate data while preserving integrity and security, create data visualizations, and collaborate with QA to resolve defects. The role requires client-focused travel and/or relocation to unanticipated U.S. locations as project needs dictate.

Administer enterprise Oracle, Microsoft SQL Server, and PostgreSQL databases in high-availability hybrid cloud environments. Responsibilities include database installation, configuration, maintenance, performance tuning, security hardening, encryption, backup and disaster recovery, and migration to Azure Government Cloud. The role supports contract management and financial tracking systems, applies DISA STIGs, manages clustering and partitioning, and ensures mission-critical data availability for government users.

Design and implement enterprise-level data models, governance, metadata management, and data quality processes. Lead selection and deployment of data tools, ensure regulatory compliance, support application rollouts, and coach staff while collaborating with stakeholders to deliver the data architecture roadmap.

Leads digital analytics strategy for Employee Benefits and Corporate domains, delivering advanced SQL analysis, dashboards, reporting, data quality initiatives, and executive insights. Partners with business and technology stakeholders on requirements, KPIs, prioritization, governance, and scalable analytics solutions. Provides functional leadership and mentorship to analysts while remaining hands-on with digital behavior, omnichannel, customer journey, and AI-enabled analytics.

Build and optimize scalable ETL/ELT pipelines using Matillion, AWS, and Snowflake. Develop governed, certified Data Products for an enterprise Data Marketplace across bronze, silver, and gold data layers. Implement data quality, lineage, metadata, access controls, CI/CD, monitoring, and certification workflows. Collaborate with analysts, data scientists, AI/ML teams, product owners, and stakeholders; contribute to architecture, roadmap planning, code reviews, mentorship, and reusable engineering practices.

Develops and supports business intelligence and analytics solutions, including data models, datasets, dashboards, reports, and integrated analytics. Partners with business and IT teams on data warehouse and data lake design, governance, data quality, technology performance, and analytics adoption. Uses SQL and Python to extract and shape data, automates dataset monitoring, and incorporates statistical or predictive capabilities into BI solutions.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

Supports enterprise master data applications by gathering and managing business, functional, and technical requirements across MDM, PIM, and DAM platforms. Leads stakeholder elicitation sessions, documents user stories, process flows, wireframes, acceptance criteria, and business rules, and partners with technical teams on solution decisions. Coordinates functional, integration, and user acceptance testing, including defect management, while aligning technical and non-technical stakeholders on priorities and approvals.