Top Data & Analytics Jobs in Cincinnati, OH

As a Lead Game Designer, you'll shape systems and features for the game, guide the design team, and align designs with game pillars to enhance player experience.

As a Data Scientist, you will analyze data for actionable insights, collaborate across teams, build models, and communicate findings through visualizations.

The intern will support data collection, analysis, and reporting, using SQL to extract and validate data, develop dashboards, and prepare data for analysis, while gaining practical experience in a professional IT environment.

The Demand Planner will develop forecasts based on performance and consumer signals, partnering with various teams to improve accuracy and revenue plans for retail channels.

The Salesforce Business Systems Analyst will administer Salesforce, translate business requirements, support users, manage integrations, and ensure effective solutions are implemented in a fast-paced environment.

Lead marketing analytics to measure and optimize full-funnel performance. Build dashboards, analyze paid media and web funnels, assess lead quality and conversion, advise on budget allocation, support executive reporting, and improve analytics infrastructure across Marketing, Finance, and RevOps.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

The BI Data Analyst III will provide insights for business decisions at Credible, focusing on the Insurance team. Responsibilities include developing dashboards, conducting data analysis, and collaborating across teams.

Lead a team of analysts to conduct research, manage experiments and business intelligence dashboards, and improve marketing performance.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

The Data Engineer will design, build, and maintain analytics-ready Data Marts, create resilient data pipelines, and ensure data integrity, working closely with analytics teams to deliver reliable datasets.