Data Analyst

• Act as an internal consultant for business partners throughout the enterprise
• Collect and integrate appropriate data to support business decisions
• Meet with internal analytics consultants and business partners to understand analytics needs and propose solutions
• Identify, collect, and integrate internal and external data sources
• Create reports or data views for business partners
• Build predictive models, including linear and non-linear regression and decision trees, for loss costs, marketing response, conversion, fraud, and other target variables
• Create or enhance tools to simulate and monitor the impact of business decisions
• Provide clear documentation for governance processes
• Work with the Data Services unit to maximize the value of existing solutions and guide incorporation of new elements
• Perform ad hoc analyses and reporting
• Improve data extractions and processes related to essential functions
• Perform other duties as assigned

Analytics Analyst II

• Build, develop, and maintain datasets supporting automated reporting solutions and program performance measurement
• Support commercial teams with data needs for performance reviews, business planning, and newly onboarded business
• Conduct ad hoc analysis to investigate and resolve program issues
• Provide support during QBR, business planning, and launch execution
• Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation
• Design and implement internal and client-facing program performance datasets
• Track and analyze SLA measurements and program KPIs
• Co-develop dashboards visualizing program performance trends
• Provide data-driven insights to client-facing and internal teams
• Collaborate with internal operations and client-facing BI teams to ensure consistent metrics and reporting
• Partner with BI departments on healthcare analytics initiatives
• Support operations excellence and commercial teams with performance insights
• Contribute to monetization opportunities through consulting and data products
• Work with Product Engineering to reflect product features and changes in datasets
• Ensure performance data accuracy, reliability, and security
• Implement data validation and quality control processes
• Document data lineage and maintain data dictionaries
• Collaborate with stakeholders to define business rules and metrics
• Improve data management and analytics processes based on industry trends and best practices
• Serve as an integral member of the iBIDADS team, reporting to the Executive Director of Data Strategy

Senior Data Analyst

• Support the Network Planning function by creating structured reporting and processes across all Planning
• Develop and implement reporting frameworks, processes, and tools to communicate insights and drive data-informed decision-making
• Gather and analyze data and develop structured reports
• Provide actionable insights and support reporting through Command Center toolkits
• Design and implement a structured reporting framework, including reporting requirements, data sources, and KPIs
• Implement data validation and cleansing processes for Network Planning reporting tools
• Collaborate with Analytics teams to resolve data-related issues and ensure data availability
• Understand Network Planning reporting needs and insights provided to team members
• Partner with planning and executional teams, senior management, and other departments
• Track and analyze Planning KPIs across NUSA and maintain dashboards and reports highlighting performance and improvement opportunities
• Provide training and support on reporting tools, techniques, and best practices

Senior Supply Chain Analytics Analyst

• Serve as a strategic advisor guiding measurement strategies and translating data into innovative frameworks for cross-channel success
• Partner directly with clients to design, implement, and evolve marketing and data analytics programs
• Lead engagements involving multi-channel data integration, insights framework development, and translation of analytics into business outcomes
• Co-create marketing analytics strategies supporting personalization, attribution, and media mix optimization
• Translate complex customer behavior data into scalable frameworks for future marketing innovation across channels
• Lead cross-functional analytics initiatives and enterprise-wide insights projects
• Represent analytics expertise in insight development, client consultations, strategic planning, and solution design
• Provide thought leadership and mentor others in advanced analytics techniques
• Design and oversee strategic marketing science initiatives, including test frameworks, predictive modeling, and audience performance measurement
• Develop data visualizations using business intelligence tools
• Lead projects and oversee the work of more junior analysts

Lead Data Analyst

• Build, develop, and maintain datasets supporting automated reporting solutions and program performance measurement
• Support commercial teams with data needs for performance reviews, business planning, and newly onboarded business
• Conduct ad hoc analysis to investigate and resolve program issues
• Provide support during QBRs, business planning, and launch execution
• Manage third-party data integration and analysis, including shipping analytics and return-to-sender reconciliation
• Design and implement internal and client-facing program performance datasets
• Track and analyze SLA measurements and program KPIs
• Co-develop dashboards visualizing program performance trends
• Provide data-driven insights to commercial, client-facing, and internal teams
• Partner with internal and customer-facing BI departments on healthcare analytics initiatives
• Ensure consistent data definitions and metrics across BI functions
• Work with Product Engineering to reflect product features and changes in datasets
• Implement data validation and quality control processes
• Document data lineage and maintain data dictionaries
• Collaborate with stakeholders to define business rules and metrics
• Continuously improve data management and analytics processes

• Design, engineer, deploy, and support scalable AI and machine learning solutions for enterprise analytics
• Build scalable frameworks and reusable components for model development, integration, testing, deployment, and monitoring
• Collaborate with data scientists to operate analytical and machine learning solutions in production
• Support model lifecycle management, including deployment, testing, validation, performance monitoring, and ongoing optimization
• Manage model releases, version control, and deployment processes
• Partner with engineering teams to establish infrastructure standards for model deployment and operational support
• Support automation, orchestration, and infrastructure-as-code initiatives
• Troubleshoot deployment, integration, and operational issues across AI/ML ecosystems
• Partner with business leaders, technology teams, data scientists, and lines of business to understand requirements and deliver solutions
• Independently perform advanced quantitative analyses and model development to support decision-making
• Analyze and develop model frameworks; refine, monitor, and review existing models
• Communicate with model owners and model developers during reviews
• Work with large and complex datasets to create models
• Perform quantitative analysis and develop complex reports
• Assess models’ theoretical aspects, design, implementation, data quality, and integrity
• Measure and analyze model risks and identify model strengths and limitations
• Prepare and analyze documentation for validation and regulatory compliance

Senior Quantitative Analytics and Model Analyst – Data Operations, Machine Learning Operations

• Learn to use modeling software to evaluate catastrophe risk
• Run analyses and identify high-risk catastrophe regions
• Update and maintain databases, tables, queries, and processes in SQL
• Review, update, and maintain data engineering code in Python
• Consolidate and clean up redundant reference tables across multiple databases
• Create Tableau and Power BI dashboards
• Map wildfire, hurricane, convective storm, and earthquake events for visual insights
• Help streamline repeatable modeling processes
• Learn and apply Python for automation and data preparation tasks
• Collaborate with experienced modelers, analysts, and teams to share tools and insights
• Gain hands-on experience supporting catastrophe modeling, data engineering, and visualization efforts

Data Analyst jobs in Ohio

Analytics Analyst II

Senior Data Analyst

Senior Supply Chain Analytics Analyst

Lead Data Analyst

Senior Data Analyst

Senior Quantitative Analytics and Model Analyst – Data Operations, Machine Learning Operations

Catastrophe Modeling, Data Analytics Intern