Top Senior Analysis Reporting Jobs in Cleveland, OH

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.

Use quantitative methods to measure offline and digital marketing impact. Deliver analyses, recommendations, and presentations to clients. Perform project-based analytics (marketing mix modeling, multi-channel attribution, digital analytics, pricing/promotion, demand forecasting), lead and grow a team, and travel extensively for client work.

Lead enterprise data discovery, inventory, classification and governance initiatives. Evaluate and run POCs for tools (OneTrust, BigID, Varonis, Cyera, Delphix, RecordPoint, Collibra, Microsoft Purview). Conduct stakeholder workshops, assess classification accuracy, security, scalability, integrations, and metadata flow. Produce recommendations, feasibility assessments, roadmaps, and support Collibra integration.

Lead BI liaison between business and IT to define reporting requirements, map ERP (Oracle EBS) data to OBIEE/BI Apps, design and test dashboards/reports, resolve data inconsistencies, train users, and mentor junior team members. Support ad-hoc reporting, create specifications and test plans, and extend BI Apps functionality to meet global reporting needs.

The Senior Data Architect leads architecture decisions for product initiatives, modernizes analytics assets, and ensures solutions meet business objectives while aligning with enterprise standards.

Develop and maintain Microsoft SQL Server databases (2008/2012) using advanced T-SQL to write stored procedures, views, and triggers. Build and deploy SSIS packages and SSRS reports. Perform database administration, performance tuning, security, and use SQL Profiler and Visual Studio Data Compare. Work collaboratively within a team.