Top Data & Analytics Jobs in Cleveland, OH

Leads enterprise data architecture and phased Microsoft Fabric implementation. Defines data models, integration patterns, governance standards, lineage, metadata, security, semantic layers, and scalable platform architecture. Partners with data engineering, IT, governance teams, business owners, analysts, and technology leaders to translate business requirements into sustainable technical solutions and support analytics, reporting, self-service, and AI enablement.

Leads the architecture, development, and production operation of complex data pipelines and platforms. Resolves scalability, data quality, reliability, and architectural challenges; evaluates data technologies; mentors engineers; establishes engineering standards; partners with product, analytics, and operations teams; communicates technical trade-offs; and conducts proofs of concept to guide platform strategy.

Analyze marketplace and product data to identify growth opportunities, define and monitor core metrics, build dashboards, run experiments, size initiatives, and translate insights into actionable product and go-to-market decisions. The role partners with cross-functional leaders and stakeholders to measure impact and drive measurable outcomes.

Assists transplant nephrology investigators with collecting and managing research datasets, analyzing secondary data sources, and performing statistical and regression analyses. Generates tables, reports, and computations; maintains study records and files; and helps identify trends and educational needs. The role is part-time, remote, and requires basic computer systems and data analysis skills, with prior experience preferred but not required.

Analyze complex data to support company-wide decisions and responsible growth. Build metrics, data pipelines, dashboards, reports, and self-service tools; translate stakeholder needs into data problems; deliver actionable recommendations through analysis and storytelling; collaborate cross-functionally and enable teams to use data effectively.

Own supplier data quality through profiling, sampling, source linking, issue quantification, and quality monitoring. Partner with data engineering, product, and cross-functional teams to translate findings into technical improvements and prioritize opportunities. Build dashboards and reports to communicate data health, support automated quality gates, and apply customer insights to data and product improvements.

Manages manufacturer client relationships and translates Circana’s syndicated consumer and retail data into actionable business insights. Delivers analyses, dashboards, and insight-led solutions; collaborates with product, analytics, and client teams; identifies growth opportunities; supports client satisfaction and innovation; and uses AI tools to improve research, communication, and process efficiency.

Leads commercial analytics and optimization across pricing, promotions, forecasting, financial modeling, and business intelligence. Develops analytical models, evaluates promotional effectiveness, monitors commercial KPIs, and creates dashboards and performance scorecards. Translates complex data into actionable recommendations for Commercial and Operations leaders, validates reporting data, and identifies revenue and profitability opportunities. Manages and develops a Reporting Analyst while partnering with cross-functional teams on continuous improvement.

Leads commercial analytics, pricing optimization, promotional effectiveness measurement, forecasting, financial modeling, dashboards, and performance reporting. Translates transaction and product data into recommendations that improve revenue and profitability. Partners with Commercial and Operations teams, validates reporting data, evaluates vendor-funded programs, and manages a Reporting Analyst.

Deliver recurring and ad hoc commercial analytics, client reporting, performance-guarantee calculations, dashboards, and value measurement. Define and govern metrics, validate data, improve documentation and workflows, and automate repeatable processes. Partner with Client Success, Commercial, Finance, Product, and Analytics teams to translate complex questions into actionable insights, client-ready narratives, and recommendations that strengthen client relationships and inform business strategy.