Top Data & Analytics Jobs in Columbus, OH

The Senior Data Analyst builds datasets, automated reporting, dashboards, and performance analytics for healthcare programs. The role supports commercial, operations, client-facing, and business intelligence teams through ad hoc analysis, KPI and SLA tracking, third-party data integration, and data quality governance. Responsibilities include maintaining data dictionaries and lineage, validating metrics, collaborating with Product Engineering, and translating analytical findings into actionable business insights.

Designs and leads enterprise-scale data platforms, pipelines, lakehouses, warehouses, and streaming solutions. Defines data modeling, governance, security, and architecture standards while optimizing performance, scalability, reliability, and cost. The role collaborates with data engineering, analytics, machine learning, and business teams; mentors engineers; and establishes data platform best practices using Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and cloud technologies.

Leads Enterprise Intelligence operations and governance, including analytics demand intake, prioritization, KPI catalog management, documentation standards, service expectations, controls, and delivery reporting. Manages governance forums, coordinates with business and technology partners, oversees analytics operations and capacity planning, and develops the EI operations team. Drives standardization, data stewardship, automation, accountability, and continuous improvement across the analytics delivery lifecycle.

Leads the design, development, and support of customer-focused data and business intelligence solutions, including data models, reports, dashboards, and self-service analytics tools. Partners with stakeholders and IT, promotes data governance and quality standards, supports data lake design, and develops scalable analytics products. Provides technical leadership, mentors team members, manages project deliverables, and applies data science concepts to generate predictive and prescriptive insights.

Build and own cloud-based data pipelines and governed data products supporting Employee Benefits Sales and Underwriting. Design ELT solutions, integrate complex data, improve data quality, and implement CI/CD and enterprise data engineering practices. Architect hybrid cloud solutions using AWS, Hadoop, Spark, Kafka, Snowflake, and related technologies. Influence architecture and tooling decisions, document technical guidance, mentor teams, evaluate emerging technologies, and contribute to strategic roadmaps.

Analyzes financial, operational, pharmacy, clinical, and grant data to support business and clinical outcomes. Maintains data warehouses and reporting systems, designs reports and dashboards, develops automated reporting solutions, identifies process improvements, and presents insights to leadership and staff. The role also gathers stakeholder requirements, applies statistical analysis, and supports data-driven strategic decisions.

Develops governed investment data products, pipelines, models, semantic layers, dashboards, and reporting solutions using cloud data platforms. Partners with business and technology teams on requirements, governance, data quality, testing, access controls, and production support. Requires strong SQL, Python, data modeling, Snowflake or Databricks, and BI experience, with preferred financial services knowledge. The role is hybrid in Columbus, Ohio, and does not offer employer-sponsored work authorization.

Rotational program for recent graduates supporting technology and analytics teams. The associate will learn through multiple rotations, build automation or improve existing workflows, create operational reporting and metrics, support controls and audits, collaborate with cross-functional partners, and complete talent development training. The role focuses on Deposit Operations for the Bread Savings program and requires strong communication, Microsoft Office proficiency, reporting skills, and workflow automation knowledge.

Develops operational dashboards, scorecards, KPIs, executive reports, and performance metrics for laboratory departments. Analyzes trends in productivity, quality, staffing, service, and efficiency; provides data-driven recommendations; supports continuous improvement and project management activities; and collaborates with cross-functional teams to improve processes, reporting, and data accuracy.

Analyzes personal lines insurance and digital product performance using SQL, BI tools, statistical methods, and financial modeling. Partners with product, experience, actuarial, finance, and operations teams to identify growth opportunities, optimize digital customer experiences, assess risks, support business cases, and influence leadership decisions. Applies AI and automation to improve analytical efficiency, communicates insights through presentations and reports, and mentors colleagues.