Top Analytics Jobs in Columbus, OH

The role involves partnering with finance leaders to provide analytical insights, designing frameworks, developing dashboards, and leading a high-performing analytics team while utilizing SQL and data visualization tools.

As a Quant Analytics Senior Associate, you will lead analytics projects, derive insights from customer data, develop performance metrics, and create visualizations to enhance customer experience across services.

As a Senior Associate, assist clients with cloud data strategies, implement cloud data architectures, and collaborate with teams to drive business results using data analytics.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

The VP, GTM Data & Product Analytics leads Sortly's analytics strategy to enhance growth, collaboration, and decision-making through data-driven insights and executive-level influence.

The Senior Manager, People Insights & Analytics will develop analytics tools, build dashboards, conduct workforce analyses, and drive people strategies using data insights to improve talent management.

The Associate in Strategic Analytics conducts data-driven analyses, collaborates with teams, and develops insights to support risk management in Auto Finance.

As a Quant Analytics Associate, you will analyze data, resolve customer impacts, automate analytics tasks, and deliver reporting solutions.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The SVP of Analytics Solutions will lead a global team to define, build, and commercialize analytics capabilities, drive client impact, and support business growth through innovative data solutions.

This role oversees a team that analyzes MetLife's mortgage portfolios, delivers high-impact analytics, and collaborates with various stakeholders for reporting and compliance.

The Senior Analytics Engineer will drive analytics projects, improve customer experiences, and develop self-service tools while collaborating with stakeholders to meet business needs.

The Marketing Analytics Specialist will analyze website data, provide insights, build dashboards, and support decision-making to enhance marketing performance.

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

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

Lead a global team to deliver economic and industry analytics, support strategy development, and present insights to business leadership.

As a Senior Analyst in Risk Analytics, you will develop quantitative models for risk management, collaborate across teams, and contribute to investment and capital management efforts.

The Specialist in Risk Analytics will develop quantitative modeling solutions, collaborate across departments, and communicate insights to drive business outcomes.

The role involves analyzing P&C data, developing quantitative modeling solutions, and collaborating with business partners to drive data-based decisions.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The Web Analyst analyzes web performance data using various tools, develops dashboards, and provides insights to improve user experience and drive online conversions.