Top Data & Analytics Jobs in Cleveland, OH

Analyze game performance across dimensions (game type, venue, state, device, day), publish quarterly gameplay reports, identify player behavior trends, collaborate with account teams, visualize data with Tableau/Power BI/SAP, and recommend data-driven improvements to boost engagement and revenue.

Lead a team of BI/data developers to build and maintain data models, dashboards, and analytics solutions (Power BI, SQL, Synapse). Drive data governance, partner with stakeholders and security teams, present to leadership, and promote data-driven decision making across the firm.

Lead SAP BODS developer to coordinate with IT, business and onshore/offshore teams. Must have 5+ years SAP BODS experience including upgrades, strong BO development (Universes, WebI, InfoView), solid SQL skills, and excellent communication. Banking/financial domain experience preferred. 12-month engagement.

Responsible for transforming sales data into strategic narratives, providing insights for executive decision-making, and leading a team of analysts.

Maintain and audit commercial real estate databases, perform market and property research, generate reports and trend analysis, support brokers with data for listings and presentations, assist marketing and lead-generation efforts, and perform related administrative tasks.

Lead data engineering and architecture for data integration and data warehouse projects. Design and build data pipelines, define datasets and strategies, perform data modeling, configure and test ETL processes (Informatica), and work with GCP/BigQuery and Snowflake on Azure. Collaborate with stakeholders to prioritize business use cases and enable reporting.

Install, deploy, and document TM1 product installs, upgrades and fix packs; evaluate upgrade functionality; work with IBM on PMRs; build TM1 applications, workflows, and dashboards; load data from SQL; configure CAM, cube structures, security groups; troubleshoot and provide TM1 support; possess CDM knowledge.

Lead development of complex data models, datasets, and Tableau dashboards; perform deep analyses of large datasets; present insights to senior leadership; optimize SQL queries and Snowflake-based pipelines; mentor junior BI team members and partner with business units to define KPIs and drive data-driven decisions.

Manage and optimize the Microsoft Dynamics CRM for ticketing, partnerships, and B2B sales. Implement automations, train users, integrate third-party apps, build dashboards and reports (Tableau/Power BI), support digital marketing campaigns, audience segmentation, A/B testing, and provide cross-functional data-driven insights to improve sales and service effectiveness.

Design and maintain enterprise information architecture, including domain models, taxonomies, ontologies, and metadata to make data AI-ready. Operationalize models via enterprise data catalog (Alation), resolve semantic conflicts, define metadata standards, and partner with analytics and AI teams to enable governed, explainable AI and downstream BI/LLM use cases.