Top Data & Analytics Jobs in Dayton, OH

Perform advanced operations research and analytical studies supporting Air Force sustainment: collect/normalize data, develop models and estimates, run reports, validate statistical analyses, and produce metrics and reports using ISMT/ADIS/CIDS and Jira.

Lead end-to-end delivery of a global Customer Master MDM platform: design data models, match/merge and survivorship rules, build integrations with CRM/ERP/billing, hire and mentor engineers, and partner with Data Governance to ensure scalable, high-performance Customer 360 capabilities.

Lead enterprise revenue management initiatives by building analytics, tools, reports, and models to maximize profitability. Partner with Merch, Marketing, and Finance to design pricing, promotions, and offer-pack strategies. Facilitate discovery/design sprints, prioritize product features, enable end users, communicate insights, and drive change management across complex retail categories.

Administer and optimize SQL Server databases while designing normalized schemas, mapping XML data, and developing SSIS-based ETL and migration pipelines. Responsibilities include database maintenance, backup and recovery, performance tuning, security controls, audit logging, testing, production cutovers, rollback planning, and ongoing migration support. The role also requires collaboration across development, testing, systems engineering, and business teams.

Short-term paid project to export your personal financial data from at least seven apps (including five mandatory categories), create two financial artifacts (spreadsheets or trackers), redact PII locally using a provided tool, and submit matching, recent historical datasets for quality review and final approval. Paid per approved dataset; expected completion within the project timeline.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

The Data Operations Analyst at Revecore will manage data operations, troubleshoot issues, and optimize data pipelines while collaborating with Data Engineering.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design, build, and optimize enterprise ETL/ELT pipelines, cloud data lakes, lakehouse solutions, data models, and semantic layers across AWS and Azure. Ensure data quality, security, performance, reliability, and governance while supporting analytics, reporting, and AI initiatives. Collaborate with product, engineering, IT, and business stakeholders to translate requirements into scalable data solutions, monitor pipeline health, troubleshoot issues, and improve data architecture and practices.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.