Top Analysis Reporting Jobs in Dayton, OH

The Sr. Data Analyst will perform data analysis for a pharmacy project, handle data issues, support data management processes, and assist in ETL development. Strong experience in SQL and healthcare is required.

Searching for experienced candidates to join the IT Solutions Division, specializing in data analysis, analytics, and technologies like Java, SQL, and Big Data.

The Data Analyst will support DoD programs by analyzing datasets, creating visualizations using Tableau, and conducting data-driven analyses to influence mission decisions.

Lead product analytics for renter-platform interactions across SMS, email, chat, and voice. Run A/B tests, build dashboards, define metrics, surface insights, and partner with Product, Engineering, Design, and GTM to drive roadmap and marketplace growth using GenAI-enabled experiences.

Lead and grow a Locations Analytics team while performing hands-on product analytics, experimentation, causal inference, and geospatial analyses. Partner with Product, Engineering, Design, Data Science, and Marketing to define KPIs, run A/B tests, build reporting and dashboards, and present strategic insights to senior leadership to drive location-based product decisions.

Perform business analysis to define requirements, source and analyze data, assess technology performance, troubleshoot system issues, support project teams across lifecycles, create project artifacts, and build test cases to validate business requirements and user testing.

Drive GTM analytics for Marketing and Sales by building multi-touch attribution, improving funnel conversion, maintaining reliable BI dashboards, automating reporting with AI, and delivering actionable revenue insights to optimize spend and pipeline health.

Customer-facing senior Solutions Architect for AI/BI product line: design and deliver cloud-based lakehouse analytics and data-visualization solutions, partner with account teams and GSIs, run workshops and demos, act as tier-3 technical escalation, and translate field insights into product recommendations.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Own marketplace analytics and attribution, build source-of-truth dashboards, define and instrument product/growth metrics, run A/B experiments end-to-end, perform cohort LTV/payback analysis, support SEO and technical growth, and partner with AI to measure feature impact and accelerate analytics with AI tools.

Lead data science efforts for marketplace product: design experiments, apply causal inference and ML, analyze customer acquisition/engagement/retention, mentor teammates, and translate results into product decisions.