Top Senior Data & Analytics Jobs in Columbus, OH

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

The Data Owner Director will lead data strategy for Deposits products, ensuring data quality, supporting analytics, and mitigating data risks while collaborating with stakeholders to drive business objectives.

The Manager, Portfolio Strategy is responsible for managing a team, developing monitoring frameworks, analyzing portfolio performance, and presenting insights to optimize profitability and risk for a billion-dollar portfolio.

The Senior Analyst will provide insights to drive business growth, assess portfolio risks, and implement pricing strategies while collaborating with various teams.

The Data Systems Manager will oversee data architecture, implement MDM strategies, ensure data quality, and drive governance initiatives to support business intelligence.

Lead Statistical Programmer responsible for developing SAS programs for clinical trial data analysis. Collaborate with teams, ensuring compliance and quality standards. Mentor junior programmers.

Lead product analytics function, manage a team of analysts, drive data-informed decisions, and partner with Product and Engineering teams.

As a Lead Data Architect, you'll design enterprise-grade data platforms, ensuring compliance, scalability, and guiding teams in data modeling and governance.

The Principal Credit Risk Analyst leads credit risk evaluation, monitoring, and optimization for lending portfolios, collaborating with cross-functional teams to drive informed growth and ensure compliance with regulatory standards.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

The Senior Data Analyst will analyze data, build models, and provide insights to support decision-making for operational and leadership teams, while collaborating with technical and non-technical stakeholders.