Top Business Intelligence Jobs in Cleveland, OH

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.

Architects and develops the enterprise BI semantic layer, including governed data models, reusable datasets, business metrics, data-level security, and performance optimization. Establishes modeling, documentation, certification, and lifecycle standards; partners with data engineering, architecture, BI developers, and business owners to deliver scalable reporting solutions. Evaluates emerging BI and AI-driven analytics capabilities, mentors developers and self-service users, and ensures consistent, secure, trusted data across the organization.

Designs and implements enterprise Lakehouse, data warehouse, and ELT solutions using Snowflake, Python, and SQL. Builds Medallion Architecture pipelines, dimensional models, semantic layers, data marts, reporting systems, and migration frameworks. Administers Alation cataloging, lineage, metadata, governance, and data quality programs. Establishes architecture standards, documents best practices, monitors data processes, and mentors team members while leading complex cross-functional initiatives.

Leads technical operations for analytics and business intelligence systems. Designs architectures and solutions across data warehouses, BI tools, APIs, AWS, and Talend; oversees system changes, monitoring, security audits, and technical debt remediation. Collaborates across departments, implements coding standards, identifies downstream impacts, and mentors team members developing reporting applications.

Build and maintain scalable data solutions in Palantir Foundry, including ontologies, data objects, pipelines, workflows, analytics, and AI/ML integrations. Translate stakeholder requirements into enterprise data and analytics solutions, manage schemas and governance, troubleshoot platform issues, document processes, and provide user training and support. The role supports FAA data modernization, platform adoption, and continuous improvement of Foundry applications and data models.

Develops and maintains Power BI and Microsoft Power Platform solutions in secure government environments. Responsibilities include gathering requirements, analyzing data, creating visualizations and process models, coordinating enterprise platform initiatives, documenting systems, developing and executing test plans, troubleshooting issues, supporting deployments, and training end users. The role requires an active Secret clearance, security certification, extensive Power BI and Power Platform experience, and occasional travel under 10%.

Leads enterprise data architecture strategy, roadmap, and implementation across data models, pipelines, lakes, warehouses, and business intelligence. Establishes governance, quality, security, and compliance standards; evaluates emerging technologies; collaborates with business and IT stakeholders; mentors data professionals; resolves complex data challenges; and maintains architecture documentation.

Owns analytical projects across customer onboarding, transaction behavior, and platform operations. Designs dashboards, KPI frameworks, reporting workflows, and data pipelines while delivering actionable insights. Partners with Engineering, Product, Payment Operations, Compliance, and Finance; mentors colleagues; manages project scope and priorities; resolves ambiguity; and drives cross-functional alignment. Requires advanced SQL and data modeling skills, BI tool experience, analytical scripting familiarity, FinTech domain knowledge, and 4+ years of analytics experience.

Leads Lumicera’s enterprise data and analytics function, setting strategy, roadmaps, governance, investment priorities, and delivery standards. Manages analytics teams, data products, reporting, dashboards, data platforms, and governed self-service capabilities. Partners with executives and operational, clinical, technology, finance, compliance, and pharmacy stakeholders to translate business priorities into measurable insights. Oversees vendors, budgets, data quality, privacy, metadata, lineage, and AI-readiness while supporting regulated healthcare and specialty pharmacy operations.

Develop and support enterprise business intelligence and data solutions using Power BI, Microsoft Fabric, Power Query, DAX, SQL, automation, and AI technologies. Responsibilities include data transformation, modeling, visualization, reporting, governance, integration, semantic model development, and citizen development enablement. The role collaborates with business and technical teams, mentors users, supports enterprise data architecture, and promotes scalable, secure, high-quality BI practices.

Develops business intelligence solutions by collecting, integrating, analyzing, and presenting data from internal and external sources. Designs data models, taxonomies, schemas, and governance rules; builds Power BI and Power Apps solutions; develops front-end interfaces; and provides actionable insights to decision-makers. The role requires independent technical judgment, performance tuning, and collaboration across healthcare-related systems. It is fully remote with Central or Eastern Time Zone hours and occasional office travel.

Develops business intelligence reports, visualizations, and application scripts using data from multiple sources. Gathers requirements, presents solutions, conducts user testing, validates data integrity, supports BI tool users, and identifies opportunities to improve analytics processes. The role collaborates with internal and external stakeholders and adapts reporting solutions to evolving business needs.

Build and maintain branch network performance reporting, dashboards, semantic models, and analytical datasets using SQL and Alteryx. Translate banker, branch, market, and enterprise data into actionable insights for senior leaders. Lead analytical projects, manage timelines, communicate executive-ready findings, improve reporting processes, and mentor junior analysts. Partner with Distribution and Consumer Bank leadership in a hybrid, primarily onsite environment.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Develop Power BI and Tableau dashboards, scalable data models, reporting solutions, automation workflows, and actionable analyses using financial, operational, Salesforce, RF, and video performance data. Monitor hybrid terrestrial and satellite delivery systems with tools such as Skyline DataMiner, identify trends and anomalies, and collaborate with stakeholders to deliver business intelligence solutions. The role requires strong communication, business acumen, SQL, Azure, XML, and ETL/ELT expertise.

Provides business intelligence consulting by gathering requirements, defining KPIs, and designing dashboards in Power BI and Amazon QuickSight. Builds data models, calculated measures, row-level security, and scalable reporting solutions; validates data quality and performance; documents metadata and lineage in Atlan; trains users; and collaborates with data engineers on data structures and pipelines.

Analyzes data from multiple sources to identify trends, develop member segmentation and lifecycle models, support competitive analysis, and recommend strategies for improving member participation and financial products. Builds reports, dashboards, and data-driven tools for leaders and staff, collaborates with stakeholders, trains power users, and provides ongoing analytical support using SQL, R or Python, ETL, data modeling, and business intelligence tools.

Develops enterprise business intelligence solutions, including data preparation workflows, dashboards, reports, visualizations, and analytics. Partners with stakeholders to translate requirements into actionable insights, ensures data quality and governance, documents processes, and coordinates contract resources across concurrent projects. Uses Alteryx, Tableau Prep, Power BI, and Tableau to deliver scalable reporting and measurable business value.

Develop and maintain enterprise Power BI reports, dashboards, analytical datasets, SQL queries, ETL processes, and data warehouse solutions. Partner with business stakeholders to prioritize reporting requests, ensure data accuracy and governance, improve analytics maturity, and enable self-service reporting. Support data integration across banking systems while communicating complex analytics concepts clearly and managing multiple requests.

Owns Power BI reporting and analytics for Digital, including internal dashboards, campaign pacing, client-facing intelligence products, contact data health, and data delivery monitoring. Builds DAX reporting logic, automated alerts, budget tracking, segmentation, benchmarking, and trend analysis. Partners with IT, Data Engineering, CRM, and audience teams while transitioning an externally developed platform in-house. Serves as the senior reporting subject matter expert for stakeholder and client-facing analytics.

Designs and maintains executive dashboards, reports, semantic models, and automated analytics solutions using Power BI. Defines enterprise KPIs, data standards, and business rules while integrating data from ERP, CRM, manufacturing, SQL, and cloud systems. Partners cross-functionally with senior leaders to deliver insights, improve data quality, support master data management, and enable scalable self-service analytics and data-driven decision-making.

The Business Intelligence Engineer manages enterprise data sources, supports data quality and governance, and translates transactional data into KPIs for business teams. Responsibilities include guiding analyst teams, handling data inquiries, supporting advanced analytics, monitoring data performance, defining data requirements with stakeholders, and presenting findings to technical and non-technical audiences. The role requires SQL, Tableau, relational database, and data modeling or analytics expertise.

Leads a high-performing team managing Google Cloud analytics marts and enterprise data assets. Oversees data quality, testing, UAT, governance, documentation, incident resolution, and data literacy initiatives. Analyzes datasets, translates business needs into technical requirements, consults on data usage, and partners with analytics, operations, and technology teams to improve data capabilities and align solutions with enterprise strategy and technology roadmaps.

Maintains and enhances Google Cloud analytics data marts and models, ensuring data integrity, quality, governance, and trusted enterprise data assets. Analyzes datasets, supports UAT and incident resolution, translates business needs into technical requirements, and consults on data usage. Collaborates with analytics, operations, and technology teams, promotes data literacy, contributes to enterprise data strategy, and mentors junior staff.

Own the Databricks enterprise data warehouse and BI solution, designing data models, ETL/ELT pipelines, stored procedures, semantic layers, and governed analytics. Lead healthcare data initiatives supporting value-based care metrics such as HCC, HEDIS, Stars, utilization, MLR, and capitation. Serve as BI product owner, manage roadmap and agile delivery, enforce data quality and HIPAA-aligned controls, and lead a small team while remaining hands-on.