Top Data & Analytics Jobs in Cleveland, OH

Develop and maintain data delivery processes, workflows, data quality solutions, and visualizations supporting consumer lending. Analyze complex datasets, identify root causes, resolve production issues, and provide actionable recommendations. Collaborate with technical and business stakeholders, document methodologies, and communicate findings effectively. The role requires SQL, Python, Tableau, cloud data environment, database, and large-scale dataset experience.

Leads enterprise data platform engineering and architecture across OCI, GCP, and Azure. Owns the modern data and AI operating system, metadata control plane, data catalog, security model, observability, and AI infrastructure including vector databases, knowledge graphs, feature stores, and RAG pipelines. Guides platform engineering standards, modernizes legacy ETL, establishes GitOps and Data-as-Code practices, and mentors global technical teams while presenting architecture to executive stakeholders.

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.

Serve as the bridge between developers, functional analysts, and business stakeholders. Configure Adobe Experience Platform and Customer Journey Analytics data connections, data views, metrics, and dimensions. Define business requirements, build dashboards and reporting solutions, manage project workflows in Jira, and translate technical configurations and data insights for technical and non-technical audiences. The role requires strong analytics experience and may involve Adobe Journey Optimizer, cloud analytics platforms, and consulting experience.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Analyzes marketing performance, ROI, attribution, segmentation, cohorts, and testing across channels. Builds dashboards and reports, ensures data quality and lineage, partners with engineers and vendors on marketing data pipelines, and translates findings into strategic recommendations. Uses AI tools, SQL, statistical analysis, and business intelligence platforms to support demand generation, lifecycle marketing, and executive decision-making while maintaining privacy and regulatory compliance.

Leads a team responsible for Oracle BI administration, architecture, development, data warehousing, and global ERP reporting. Provides strategic direction, manages BI implementations and projects, gathers and validates requirements, improves reporting processes, evaluates Oracle technologies, and guides SQL and PL/SQL development. The role also supports stakeholder collaboration, training, presentations, cross-functional leadership, and up to 25% domestic and international travel.

Build and operate governed data pipelines using Microsoft Fabric, Azure, Python, PySpark, Spark, and SQL. Implement Medallion Architecture, ingest data from APIs and enterprise systems, and develop lakehouse and Azure SQL data products supporting analytics and AI. Use Git and CI/CD for deployments, explore AI agentic workloads, and partner with architects and stakeholders to translate requirements into scalable solutions. The role requires local travel, occasional overtime and weekends, and in-person work flexibility.

Analyze account and sales representative or distributor data, track incentives, rebates, discounts, and commissions, and prepare reports, presentations, and dashboards. Collaborate with sales, finance, executives, distributors, and other stakeholders to evaluate incentive programs, identify trends, ensure accurate payments and compliance, and recommend improvements.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.