Top Remote Analysis Reporting Jobs in Cincinnati, OH

Own delivery of industry and consumer insights using NIQ data and tools. Translate data into compelling visual stories and recommendations, lead client briefings, coach junior staff, drive customer satisfaction and lead thought leadership and revenue-generation initiatives in partnership with account teams.

The Catastrophe Modeling Specialist performs account-level modeling for property portfolios, analyzes data, ensures quality, and assists underwriters with modeling outputs required for risk decisions.

Design, build, and operate scalable batch and streaming data pipelines and a lakehouse on AWS. Implement ETL/ELT, CDC, metadata/cataloging, lineage, governance, data quality, IaC, and CI/CD for reliable, observable, and secure data platforms to support analytics and ML.

Design, build, and maintain analytical datasets and data models on Databricks. Write and optimize SQL and Python notebooks, develop BI dashboards, validate data quality, translate business requirements into reporting, and document data logic while collaborating with engineers, data scientists, and stakeholders.

Lead research and listening for a specific audience: design and run primary research, integrate listening signals, synthesize quantitative and qualitative insights, and deliver timely, decision-oriented recommendations while coaching analysts and partnering with enterprise stakeholders.

Lead and manage the Insights team across research design, project execution, analysis oversight, and QA. Serve as primary project lead, translate findings into actionable deliverables, oversee survey programming and data quality, coach team members, improve processes, and support client presentations and operational planning.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake; architect reusable data assets, governance, and SaaS metrics; build AI-enabled data foundations and LLM workflows; integrate analytics into operational tools and partner cross-functionally to productionize AI-driven use cases.

Lead a marketing analytics team to deliver acquisition, engagement, retention, and reactivation measurement. Own SQL-based analyses, experiments, audience strategies, dashboards, and incrementality methods. Translate business questions into analytical plans, partner cross-functionally, mentor analysts, and connect marketing activity to downstream outcomes like retention, revenue, and lifetime value.

Lead a team delivering product and business analytics for Fetch's commerce and shoppable experiences. Own prioritization, experimentation, measurement, KPI dashboards, and stakeholder-facing insights to inform product, marketing, and commercial decisions. Manage and develop analysts while partnering cross-functionally to ensure data quality, repeatable analyses, and actionable recommendations.

Lead technical advisor for enterprise data visualization and BI initiatives. Design semantic models and reporting architectures, implement Power BI and Microsoft Fabric solutions, optimize performance and security, run discovery workshops and executive advisory sessions, enable governed self-service and accessibility, and drive analytics adoption and AI readiness across clients.

Lead technical advisor for enterprise data governance engagements. Design governance strategy, metadata management, business glossaries, taxonomy, data lineage, stewardship models, and Microsoft Purview implementations. Run workshops, maturity assessments, and executive advisory sessions. Create governance monitoring, operational reporting, and AI-readiness assessments for platforms like Microsoft Fabric, Power BI, and Azure.

Senior Data Architect contractor to accelerate and modernize the data platform: assess landscape, design end-to-end data solutions, define integration and metadata patterns, enable data mesh and cloud migration (AWS), and produce reusable architecture artifacts for handoff to engineering teams.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.