Top Analytics Jobs in Cincinnati, OH

As a Staff Data Scientist, you'll analyze operational challenges, create dashboards, partner with teams, and use AI tools for data insights while delivering actionable recommendations to stakeholders.

The Digital Marketing Analytics Engineer handles data systems, analytics, and reporting for clients, transforming complex data into actionable insights while collaborating with marketing teams.

Lead the analytics function for epocrates' subscription business. Manage product analysts, assess feature performance, and support strategic insights for product decisions.

The Senior Manager leads customer data strategy and advanced analytics initiatives, ensuring effective model deployment and governance for marketing and CX teams, optimizing business outcomes through data-driven decisions.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.

The role involves leading advanced analytics projects focusing on customer churn for DIRECTV, utilizing data analysis and predictive modeling to drive retention strategies.

The role involves leading analytics, managing data pipelines, ensuring data quality, and translating data into actionable insights for business impact.

The role involves optimizing capacity planning for commercial deals using analytics and data visualization, collaborating with teams to improve forecasts and factory health assessments.

Provide support for data repository and analytics tools in GMP data, focusing on manufacturing and quality domains. Analyze business needs, manage data curation, ensure compliance, and lead documentation and testing efforts.

Drive marketing performance measurement and attribution by building dashboards, standardizing campaign tracking across HubSpot and Salesforce, running funnel and cohort analyses, ensuring data integrity, and delivering executive reporting to connect marketing activity to pipeline and revenue.

The Growth Analytics Lead will analyze and optimize marketing investments, develop performance metrics, and operationalize data tracking to improve growth and retention metrics for a direct-to-consumer brand.

The Manager leads the Predictive Analytics and Data Science team, develops predictive models, and collaborates with cross-functional teams to drive data-driven solutions in healthcare.

The Vice President of Clinical Data & Analytics leads analytics strategy and infrastructure, driving insights to optimize healthcare outcomes and manage costs. They collaborate with executives to enhance clinical programs, improve client reporting, and ensure data-driven decisions. Responsibilities include overseeing data integration, leading HEOR initiatives, and managing a high-performing analytics team.

The Staff Analytics Engineer will enhance the analytics data layer, improve data quality, maintain core data models, and introduce AI-assisted workflows to optimize insights generation.

As a Senior Analytics Engineer, you will own Solv's analytics stack, focusing on data pipeline efficiency, customer-facing analytics, and AI-powered tools, working with internal teams to improve metrics, dashboards, and data visibility.

The Head of Data & Analytics will lead a team to develop a data strategy, govern data systems, and deliver impactful insights across the company. Responsibilities include managing analytics and data platform architecture, fostering data-driven decision-making, and ensuring robust analytics infrastructure.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

The Data Analytics Intern will conduct analyses, develop processes with experts, prepare data sets, and support data-driven decision-making.

As the Director of Analytics, you'll lead analytics for MyPrize, optimizing performance across teams, developing reporting tools, and informing data infrastructure.

The Marketing Analytics Manager role involves managing marketing performance metrics, analyzing campaign performance, and collaborating with teams to optimize marketing investments and conversions.

The Fraud Risk Analytics Manager will lead fraud risk strategy optimization and provide analytical insights to reduce fraud risk and enhance customer outcomes. They will partner with teams to ensure transparency and governance in fraud strategies, using advanced data analysis techniques to drive decision making.

As a Data Analytics Manager, you will lead a team to analyze data, drive strategic insights, manage projects, and optimize mobile app performance for top brands.

The Analytics Engineer will enhance BI infrastructure, collaborate with Data Engineering, and deliver analytics-ready data. Responsibilities include managing Snowflake, dbt projects, and CI/CD workflows, optimizing data structures, and supporting BI initiatives.

The Manager, Billing Analytics partners with Reimbursement Operations to provide high-quality reporting and insights through data analysis and visualization, enhancing decision-making processes.

The Principal Analytics Engineer will design and engineer a data infrastructure to support AI-powered insights and reporting for Elastic's marketing strategies, ensuring data quality and usability for all stakeholders.