Top Senior Data & Analytics Jobs in Cleveland, OH

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Designs, builds, administers, and troubleshoots cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Ensures data integrity and quality, develops SQL queries and reports, leads testing and automation improvements, and supports dashboards, governance, data sharing, and metric collection. Collaborates with Agile teams to translate business requirements into technical infrastructure designs and decision-support capabilities using AWS, Java, Python or Scala, GitLab, and Terraform.

Conduct market, competitive, customer, product, industry, and performance analysis to support data-driven decisions across Lifecycle Services. Develop market insights and plans, guide go-to-market activities, monitor competitors, build cross-functional data-sharing programs, and support voice-of-customer, partner, and employee research. Collaborate with product management, marketing, sales, and global teams while using AI-based tools and quantitative and qualitative research methods.

Owns the strategy, roadmap, and delivery of marketing data products supporting customer insights, campaign execution, measurement, personalization, and analytics. Partners with marketing, analytics, engineering, technology, and governance teams to translate business needs into scalable data solutions. Responsibilities include data modeling, pipelines, dashboards, semantic layers, data quality, governance, KPI standardization, stakeholder management, backlog prioritization, and enablement of segmentation, attribution, and AI/ML initiatives.

Designs, builds, and maintains data pipelines, ETL processes, integrations, data models, schemas, and warehouse systems. The role optimizes data infrastructure for performance and scalability, implements governance, security, validation, and cleansing practices, and provides technical leadership to data engineering teams. It collaborates with clients, stakeholders, data scientists, analysts, and cross-functional teams to deliver reliable data solutions and evaluate emerging technologies.

Leads Criminal and Housing Data Acquisition teams, overseeing vendors, data quality, compliance, staffing, KPIs, audits, training, reporting, and process improvement. Resolves escalated data issues, expands public-record coverage, and provides operational guidance while partnering with the Director of Data Acquisition. The role requires SQL Server, XML, HTML, reporting, criminal-record lifecycle, and team-supervision experience. Work is remote within the United States or office-based in Cleveland, with occasional overnight travel.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.

Support affordable housing and land use consulting projects through GIS, spatial analysis, parcel prioritization, mapping, market studies, and quantitative and qualitative research. Analyze Census, PUMS, CoStar, and other datasets using ArcGIS, R, or Python; create publication-quality maps and graphics; provide technical assistance to local governments and community partners; collaborate with spatial analysts; review work products; and support project delivery, quality control, and client relationships.