Top Analytics Jobs in Dayton, OH

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

The Director of Analytics will lead data strategy, convert data into business insights, and mentor analytics teams to drive growth.

As an Analytics Engineer, you'll support internal teams by developing reliable data models, ensuring data quality, and creating intuitive reporting structures to facilitate decision-making across the business.

The Senior Manager of Ecommerce Analytics will analyze data to optimize website design and marketing strategies, driving growth for R2Net. Responsibilities include website optimization, A/B testing, marketing analytics, segmentation, dashboarding, and providing insights to stakeholders.

Lead Oracle Cloud reporting initiatives, ensuring data accuracy and performance while mentoring junior analysts and collaborating with stakeholders.

The Strategy and Analytics Associate conducts analyses, creates presentations, collaborates with clients and sales teams, and enhances partner relationships to drive value in identity verification services.

The Senior Analyst role focuses on developing data models, dashboards, and reports while utilizing business intelligence tools to enhance operational efficiency and business performance analysis.

Design, implement, and optimize data systems for analytics and care coordination, collaborate with teams, and automate reporting processes.

The role focuses on developing market models and insights, leveraging advanced analytics to support product strategies and inform strategic choices in diagnostics.

Lead a team of analysts to conduct research, improve methodologies, manage business intelligence frameworks, and mentor team members for better outcomes.

The role involves validating Anti-Financial Crime models, reporting findings, collaborating with teams on model performance, and enhancing validation standards.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

The role involves leading product analytics, collaborating with teams to improve customer experience, conducting A/B tests, and deriving insights from product data.

As an Analytics Manager, you'll build dashboards, provide strategic insights, and create a standard data language across teams to enable data-informed decisions.

The Director of Analytics will lead the analytics strategy and operations for a top-grossing mobile app, driving data-driven decision-making and insights.

The role involves leading enterprise reporting and analytics by driving alignment, managing data flows, delivering predictive insights, and assessing business needs for strategic decisions.

The role involves defining analytical engineering strategies, managing a data/analytics engineering team, collaborating cross-functionally, and establishing data governance for key business metrics.

The Manager of Insurance Analytics will lead a team to build an analytics framework, ensuring accurate reporting and driving data-driven decisions while collaborating with multiple stakeholders.

The Director of Data & Analytics will lead analytical engineering strategy, mentor a data team, and create actionable data models for business decisions.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Lead the development of business analytics at PushPress. Build dashboards, analyze data trends, provide insights, and support strategic decisions across departments.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The Data & Analytics Engineer will model and serve data, improve architecture, and collaborate with teams to sustain the data strategy, requiring 5+ years of experience.