Top Analysis Reporting Jobs in Dayton, OH

Lead and manage the Insights team across research design, project execution, analysis oversight, and QA. Serve as primary project lead, translate findings into actionable deliverables, oversee survey programming and data quality, coach team members, improve processes, and support client presentations and operational planning.

Manage and execute Acuity's Voice of Customer programs: build and field Qualtrics surveys, maintain feedback workflows and platforms, collect and organize customer/agent feedback, update VOC dashboards/reports, and prepare summaries for stakeholders while supporting program administration.

Lead enterprise data governance strategy and programs. Partner with stakeholders to define policies, data ownership, stewardship, metadata, and MDM. Drive data quality improvements, document requirements, implement governance controls with architects/ETL teams, support governance councils, monitor KPIs, and ensure regulatory compliance.

Serve as liaison between business and IT to translate requirements into technical solutions. Analyze processes, develop and maintain automated workpapers and reports using VBA, Power Query, and SQL, support system design and testing, document workflows and user guides, improve automation and data integrity, and collaborate with stakeholders and IT to implement scalable reporting solutions.

Lead cross-channel customer experience analysis by combining quantitative and qualitative signals (NPS/CSAT/CES, contact center, digital analytics, transactional and complaint data). Design and run deep-dive investigations, translate findings into operational recommendations, coach analysts, partner with channel owners, and maintain measurement and narrative standards to drive quarter-over-quarter operational change.

The Data & Analytics Leader will develop a multi-year roadmap to enhance data governance and analytics capabilities, while fostering a data-driven culture throughout ERAC.

Lead enterprise data architecture, governance, integration, and platform roadmap. Establish data models, lineage, cataloging, access controls (RBAC/ABAC/IAM), and M&A data integration while partnering with Finance, GTM, HR, IT, Security, Legal, and Product to ensure trusted, secure, and usable enterprise data.

Own design and implementation of a greenfield analytical data platform: ingesting PostgreSQL and Kafka streams, establishing governance, data lineage, quality, monitoring, and compliance-ready pipelines. Evaluate AWS-native tooling, Snowflake, and Databricks; produce RFCs and documentation; mentor junior engineers and ensure analytical systems remain downstream of transactional sources.

Lead design and implementation of scalable cloud data lakes, warehouses, and marts. Build ELT/ETL pipelines, apply Data Vault 2.0 and dimensional modeling, implement data quality, lineage, observability, and governance. Optimize Snowflake/Databricks/Synapse platforms, champion CI/CD and DataOps, mentor engineers, and enable AI/ML-ready data products through collaboration with architecture and product teams.

Manage and integrate preserve-based spatial and relational data for ~150 preserves: collect field infrastructure and accessibility assessments, perform complex spatial analyses and data modeling, maintain databases and GIS libraries, produce maps/reports/dashboards, provide technical support and training, and coordinate with staff and volunteers. Requires field travel and rugged-terrain access.