Top Remote Analysis Reporting Jobs in Columbus, OH

The Data Analyst develops SQL reporting and validation queries, builds Power BI dashboards, analyzes business data, and supports customer implementations involving migration, configuration, and testing. The role also maintains web platforms, troubleshoots data integrations, ensures data integrity and compliance, documents workflows, and collaborates with technical and business stakeholders to improve reporting and system performance.

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.

Build and maintain large-scale AWS ETL and data-processing pipelines handling billions of records. Investigate data-quality issues, analyze scoring outcomes, optimize query and processing performance, integrate diverse data sources, and develop reliable datasets. Own architecture and projects end to end, including testing, validation, production troubleshooting, and documentation. Apply statistical, machine-learning, AI, and analytical methods to improve data accuracy, scalability, and product outcomes with limited oversight.

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 General Liability insurance pricing analytics, predictive modeling, model governance, and data science strategy. Develops, validates, deploys, and monitors advanced statistical and actuarial models supporting underwriting, profitability, and pricing decisions. Partners with actuarial, underwriting, product, claims, finance, and technology teams; communicates recommendations to senior leaders; manages complex projects; and leads, coaches, and develops analytical staff.

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.

Lead the technical strategy and architecture for a scalable clinical data platform. Drive cross-team engineering initiatives, redesign legacy data pipelines, build batch and streaming systems, develop deployment and self-service tooling, improve monitoring, manage data models and governance, ensure privacy and security, and mentor engineers. Partner with product, AI, infrastructure, health systems integration, and business intelligence teams to deliver reliable, extensible data capabilities.

Develops reporting, analytical tools, and data solutions that support strategic decisions, revenue growth, and operational efficiency. Partners with Customer, Marketing, and Digital teams to analyze customer behavior, identify trends, validate data, and translate complex findings into actionable recommendations for executives and business leaders. Leads cross-functional analytics initiatives, improves processes and methodologies, supports user adoption, and mentors junior analysts.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).