Top Analysis Reporting Jobs in Columbus, OH

Design and implement enterprise-level data models, governance, metadata management, and data quality processes. Lead selection and deployment of data tools, ensure regulatory compliance, support application rollouts, and coach staff while collaborating with stakeholders to deliver the data architecture roadmap.

Support data collection, cleaning, preprocessing, exploratory analysis, data quality monitoring, and dashboard, chart, and report development. The intern will identify trends and actionable insights, resolve data discrepancies, collaborate with stakeholders, and stay current with data analytics techniques and technologies.

Owns end-to-end business intelligence projects across pharmacy operations, including data modeling, dbt development, LookML semantic layers, dashboard migrations, validation, and client-facing reporting. Defines and standardizes metrics, ensures reporting accuracy, mentors teammates, and builds secure PHI reporting that complies with HIPAA, masking, access-control, and BAA requirements.

Develops and supports business intelligence and analytics solutions, including data models, datasets, dashboards, reports, and integrated analytics. Partners with business and IT teams on data warehouse and data lake design, governance, data quality, technology performance, and analytics adoption. Uses SQL and Python to extract and shape data, automates dataset monitoring, and incorporates statistical or predictive capabilities into BI solutions.

Designs trusted Snowflake data products and enterprise semantic models that standardize business concepts, metrics, relationships, and rules. Builds Cortex semantic views and agents, validates AI-generated results, develops regression tests, and maintains metadata, lineage, and documentation. Leads modeling initiatives from discovery through production while partnering with business and technical stakeholders to improve analytics, automation, and AI consistency.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

Collects, standardizes, and analyzes business intelligence to support marketing, business development, client relationships, and strategic planning. Maintains experience, relationship, rankings, credential, and industry data; conducts competitive and market research; creates dashboards and reports; manages alerts; and partners with stakeholders to make insights actionable for firmwide initiatives.

Supports enterprise master data applications by gathering and managing business, functional, and technical requirements across MDM, PIM, and DAM platforms. Leads stakeholder elicitation sessions, documents user stories, process flows, wireframes, acceptance criteria, and business rules, and partners with technical teams on solution decisions. Coordinates functional, integration, and user acceptance testing, including defect management, while aligning technical and non-technical stakeholders on priorities and approvals.

Build and maintain Power BI dashboards, reports, semantic models, and executive scorecards using Microsoft Fabric, SQL, DAX, and Azure data services. Design lakehouses, data pipelines, ELT processes, and governed BI assets connecting ERP, MES, OT, and WMS data. Troubleshoot performance and data quality issues, support governance and lineage documentation, gather requirements, conduct testing and demos, and provide technical guidance to other BI analysts.

Develop and support predictive models for commercial insurance pricing, underwriting, loss costs, marketing response, conversion, and fraud. Responsibilities include data preparation, variable engineering, statistical analysis, model validation, deployment, monitoring, reporting, data integration, governance documentation, and business consultation. The role requires collaboration with internal analytics and data services teams to improve decision-making and analytical solutions.