Top Data & Analytics Jobs in Cincinnati, OH

Design and lead scalable, secure, highly available database infrastructure for multi-terabyte SQL Server environments. Set technical direction for data architecture, performance, real-time pipelines, security, and growth. Troubleshoot complex production issues, optimize queries and indexes, guide cross-functional projects, mentor engineers, review changes, reduce technical debt, and evaluate emerging technologies. Monitor database health using Splunk, Datadog, and Grafana while influencing engineering and Site Reliability strategy.

Own and maintain the data catalog, vendor and licensing records, dataset lineage, field definitions, and calculation documentation. Write SQL to trace, join, reconcile, and validate data; investigate discrepancies; QA derived metrics; prepare data extracts; and troubleshoot issues with engineering, offshore data teams, PMO, and customer service. Use AI tools to accelerate data work and maintain clear documentation for technical and non-technical stakeholders.

Lead data analysis, reporting, and storytelling for Health Insurance clients. Design studies and surveys, ensure questionnaire quality, analyze results, collaborate with client teams, and produce clear, actionable deliverables on schedule.

Develops and maintains Tableau and Power BI dashboards, analyzes operational performance, automates data processes, and builds data pipelines using tools such as Alteryx, SQL, Excel, and Tableau Prep. Ensures data quality, governance, and documentation while delivering recurring and ad hoc reports. Partners with leaders to translate business needs into actionable insights, support KPIs, forecasting, process improvement, and AI/Copilot adoption, and communicates findings to technical and nontechnical stakeholders.

Leads stop loss claims data coordination for primary clients, identifies claimants, prepares claim-entry data, builds dashboards, presents insights to leadership, and drives continuous improvement initiatives. Requires at least three years of claims data analysis or operations experience, specific stop loss claims expertise, and a bachelor’s degree in Business or Analytics or comparable experience.

Develops and maintains data pipelines, datasets, schemas, models, databases, and data flows. Analyzes raw and structured data, improves data quality, builds reporting and data dictionaries, and collaborates with analysts, scientists, and stakeholders. The role supports data security, compliance, visualization, and reporting while modernizing legacy technologies. Requires a flexible schedule supporting 24/7/365 operations and the ability to obtain and maintain a security clearance.

Own and architect marketing and storefront analytics systems, including metric definitions, single sources of truth, multi-touch attribution, marketing mix modeling foundations, semantic models, and data health metrics. Partner with marketing, storefront, and leadership teams to improve acquisition measurement, budget allocation, data quality, and decision-making across international markets.

Annotate Korean PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe Hangul, hanja, and handwriting exactly; capture page metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. The role requires exceptional character-level accuracy, consistent taxonomy application, and comfort with complex layouts such as tables, diagrams, newspapers, exams, and handwritten forms.

Annotate Japanese PDF pages by identifying, bounding, typing, and ordering document regions; link related components; transcribe all text exactly, including handwritten and vertically arranged content; capture metadata; and flag illegible or unsuitable pages. Experienced annotators also review colleagues’ work. Native Japanese fluency and command of kanji, hiragana, katakana, furigana, and variant characters are essential.

Design, build, and own scalable data pipelines and warehousing architecture from ingestion through analytics and incentive payouts. Lead data platform architecture, dbt modeling, data quality, lineage, observability, performance, and cost management. Partner with engineers and analysts on telematics accuracy and driver incentive reporting. Use AI coding tools daily to develop and review pipelines, SQL, and data models.

Develops Tableau and ServiceNow dashboards, KPIs, reports, and actionable data insights. Analyzes complex datasets, investigates root causes, applies machine learning and AI for forecasting and anomaly detection, supports data governance and quality, and recommends process improvements. Collaborates with cross-functional stakeholders and communicates findings to technical and non-technical audiences.