Top Data & Analytics Jobs in Cleveland, OH

Leads marketing and product analytics engagements, partnering with clients to develop measurement strategies, predictive models, segmentation, attribution, media mix optimization, and cross-channel insights. Translates complex customer data into scalable frameworks and business outcomes, leads enterprise analytics initiatives, presents to executive clients, mentors analysts, and oversees strategic marketing science projects. Requires advanced statistical modeling, SQL, Python or R, client consulting, and experience with modern cloud data and visualization platforms.

Develops business intelligence reports, dashboards, SQL queries, ETL pipelines, automated workflows, and data solutions. The role analyzes, cleanses, and validates datasets, improves business processes, supports enterprise applications and SharePoint, and collaborates cross-functionally to translate requirements into technology-driven solutions. Responsibilities also include troubleshooting systems, documenting processes, managing projects, and presenting findings to technical and nontechnical stakeholders.

Designs, develops, and maintains scalable data pipelines, ETL processes, data models, schemas, and data workflows. Optimizes database performance and supports data integration, governance, security, validation, and quality. Collaborates with data engineers, scientists, analysts, clients, and stakeholders while helping select engineering tools and establish best practices. The role also supports monitoring, alerting, observability, and dashboarding for data and application pipelines.

Own Microsoft Fabric data refresh pipelines, Power BI semantic models, dashboards, dataflows, and data quality scorecards. Build internal applications and automations supporting Sales Operations, automate reporting workflows, and translate business questions into DAX measures and analytical solutions. Manage BI deliverables through requirements, development, QA, stakeholder review, and maintenance while documenting data definitions and improving legacy reporting processes.

Designs and maintains enterprise data domain models, taxonomies, ontologies, metadata standards, and semantic structures. Operationalizes these assets through data catalog platforms, resolves semantic conflicts, supports governance and data quality, and enables trusted analytics, machine learning, LLM, search, and retrieval-augmented generation use cases. Partners with business, analytics, data science, and AI engineering teams to improve data discoverability, interoperability, explainability, and adoption.

Leads enterprise data architecture strategy, roadmap, modeling, integration, warehousing, governance, and security. Designs scalable data pipelines, lakes, and warehouses; evaluates emerging technologies; collaborates with stakeholders; documents architecture artifacts; and mentors data professionals. Requires 10+ years of experience, strong cloud data platform knowledge, data governance expertise, leadership skills, and a relevant bachelor’s or master’s degree.

Conduct market and equity research by building industry-source relationships, analyzing survey data, identifying trends, and writing client research reports. Support customized research projects, presentations, webinars, roundtables, and industry events. The role includes professional training, public speaking, conference attendance, and opportunities to develop ownership of a research vertical. This is a full-time, on-site position in Cleveland.

Owns ERP data migration and readiness for a companywide IFS Cloud implementation, including extraction, profiling, cleansing, mapping, mock loads, reconciliation, cutover, and business sign-off. Establishes enterprise master data governance for item, customer, and vendor domains. Builds Microsoft Fabric data pipelines, lakehouse models, Power BI reporting, automated validation, and data quality processes. Partners with Finance, Operations, Supply Chain, IT, implementation partners, and business data owners while maintaining documentation, agile delivery practices, and data standards.

Own ERP data migration and readiness for consolidation into IFS Cloud, including extraction, profiling, cleansing, mapping, mock loads, reconciliation, cutover, and business sign-off. Establish enterprise master data governance for item, customer, and vendor domains. Build Microsoft Fabric pipelines, lakehouse models, and Power BI reporting with automated validation. Collaborate with Finance, Operations, Supply Chain, IT, and implementation partners while maintaining documentation, agile delivery practices, and data quality standards.

Supports organization-wide quality improvement and performance initiatives through data collection, analysis, reporting, dashboards, audits, surveys, and data integrity monitoring. Coordinates quality committees, annual planning, compliance and accreditation activities, staff training, and documentation maintenance. Partners with leadership and IT to improve data systems, reporting standards, measurable outcomes, and data-driven decision-making.