Top Analysis Reporting Jobs in Columbus, OH

Tenure-track faculty member responsible for teaching undergraduate data analytics courses, developing curriculum, advising and mentoring students, conducting a focused research program, and contributing service to the program, university, and profession. The role emphasizes interdisciplinary instruction, inclusive pedagogy, experiential learning, and collaboration across academic disciplines.

Develop, administer, and support Power BI, Azure, Fabric, and cloud analytics solutions. Build semantic models, reports, dashboards, database objects, and automation; monitor platform capacity, performance, reliability, and costs. Partner with engineering, business, and project teams to define requirements, deliver projects, support users, and improve BI operations. Establish standards and best practices in an Agile/Scrum environment while enabling scalable, AI-supported analytics solutions.

Leads Enterprise Intelligence operations and governance, including analytics demand intake, prioritization, KPI catalog management, documentation standards, service expectations, controls, and delivery reporting. Manages governance forums, coordinates with business and technology partners, oversees analytics operations and capacity planning, and develops the EI operations team. Drives standardization, data stewardship, automation, accountability, and continuous improvement across the analytics delivery lifecycle.

Develops operational dashboards, scorecards, KPIs, executive reports, and performance metrics for laboratory departments. Analyzes trends in productivity, quality, staffing, service, and efficiency; provides data-driven recommendations; supports continuous improvement and project management activities; and collaborates with cross-functional teams to improve processes, reporting, and data accuracy.

Designs and builds scalable data platforms and pipelines for scientific, clinical, manufacturing, and process-engineering data. Responsibilities include developing batch and streaming ETL/ELT systems, integrating Databricks, Snowflake, cloud platforms, MES, SCADA, and laboratory systems, and enforcing governance and GxP compliance. The role provides hands-on technical leadership, establishes data engineering standards, and collaborates with scientists, process engineers, and platform teams. It requires three days onsite weekly in Indianapolis and unrestricted U.S. work authorization.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Analyze Customer Care performance, trends, KPIs, and data quality; gather reporting requirements; define metrics and business rules; validate data solutions; develop dashboards and visualizations; and translate findings into actionable recommendations. The role partners with business leaders and technical teams to modernize legacy reporting, improve scalability, ensure data accuracy, and enable self-service analytics.

Leads complex data analytics projects from strategy through completion, delivering predictive models, statistical analyses, dashboards, and actionable insights. Owns data integration, transformation, visualization, experimentation, governance, and ELT quality across Snowflake, DBT, Tableau, and Metabase. Partners with cross-functional stakeholders, mentors analysts, promotes self-service reporting, and communicates findings to leadership. Requires 5–8 years of analytics or business intelligence experience.

Support digital tools, technology initiatives, project workflows, data management, visualization, and technology-enabled solutions. Collaborate with technical professionals to improve engineering and design team workflows, apply classroom knowledge to real-world challenges, and participate in professional development and networking activities.

Collects and analyzes internal and external data to identify trends, opportunities, and risks. Develops dashboards, reports, and visualizations for leadership; monitors KPIs; partners with advisors to answer business questions; and supports strategic planning through forecasting, modeling, and scenario analysis.