Top Analysis Reporting Jobs in Columbus, OH

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.

Own advanced advertising measurement strategy for Connected TV, including incrementality testing, lift studies, attribution, experimental design, and performance validation. Advise customers and internal teams on interpreting complex measurement results, lead analytical enablement, partner with engineering and measurement vendors, resolve ambiguous post-launch challenges, and translate cross-customer insights into product strategy, go-to-market materials, and scalable best practices.

Designs and delivers backend systems, APIs, data models, ETL workflows, data interactions, and user interfaces. Optimizes data operations for scalability, performance, integrity, and security while contributing to automated testing and CI/CD. Requires strong Python and Apache Spark experience, distributed computing knowledge, Agile experience, and data analysis skills. The role supports healthcare-focused digital services in a remote-first environment.

Analyzes fraud, credit, portfolio, alert, case, and customer data to identify trends, typologies, losses, control gaps, and process inefficiencies. Develops fraud KPIs and KRIs, supports detection models and rules, evaluates alert and investigation lifecycles, and delivers executive-ready reporting aligned with BSA/AML, regulatory, and audit standards. Partners with Fraud Operations, Compliance, Risk, Product, and Technology teams to improve detection, escalation, investigation, and resolution outcomes.

Research unclaimed-property records, clean and deduplicate datasets, conduct AI-assisted OSINT and social-media investigations, generate leads, prepare outreach files, coordinate with data partners, and report on processing volume, match rates, and lead generation.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services. Requires strong data engineering expertise and experience supporting financial services organizations, with knowledge of asset management and financial markets.

Leads the design and development of enterprise-wide data and analytics systems using Snowflake, Python, advanced SQL, and AWS services including Lambda, Step Functions, and ECS. Requires strong data engineering expertise and practical experience building modern platforms within financial services, with knowledge of asset management and financial markets.

Designs, builds, and optimizes enterprise data pipelines, warehouses, lakes, semantic models, and ETL/ELT solutions. Develops SQL and Power BI solutions, leads data modeling, ensures data quality and governance, resolves performance issues, and contributes to data architecture. Collaborates with HR stakeholders, analysts, data scientists, and technology teams to deliver scalable analytics and reporting platforms.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Lead Cohere’s Data Foundation pillar, managing a team responsible for the full data lifecycle. Own the roadmap, BigQuery warehouse, Airflow and Cloud Run orchestration, dbt modeling, Looker and API serving, Terraform infrastructure, governance, access controls, reliability, incident response, and data freshness SLAs. Lead development of an agentic analytics platform and evaluation framework, establish company-wide analytics standards, and partner with product, engineering, security, legal, and business teams.

Leads Gartner research and thought leadership on data management for AI enablement. Provides expert guidance on data platforms, governance, context-layer architectures, AI integrations, and secure enterprise infrastructure. Develops market insights, advises executive clients, delivers presentations, supports sales, reviews content, mentors analysts, and improves research processes. Requires strong research, writing, analytical, presentation, communication, business, and technical skills, with up to 25% travel.