• Leverage strong analysis competencies to drive business insights across AXS through SQL, Looker as well as Google & Adobe Analytics. • Develop ongoing performance reporting for management in all operational areas of the business and distribute reports as needed. Provide in-depth analysis of web analytics & marketing data and summarize findings with recommendations. • Mentor junior team members as it relates to analysis best practices • Contribute strong analyses to the creation of business insights & recap presentations • Monitor data sources & ensure the accuracy of data for reporting purposes • Drive complex problems through to solutions. • Work across functions in the organization and with clients and partners to understand and address their data & analysis needs. • Build LookML models & Looker dashboards to communicate insights.

• Provides sophisticated analytic capabilities to support business problems by understanding business challenges; collecting, cleaning, transforming, and restructuring data for statistical analysis; performing statistical summaries and tests for relevant business questions; working with other Business Intelligence team members to accomplish project work • Uses quantitative modeling and statistical techniques to identify causal relationships between customer experience and business performance • Translates unstructured data and questions into addressable project objectives. Independently drives work forward in ambiguous situations. • Leverages vendor partners where needed to choose appropriate research and conduct qualitative and quantitative customer research. Connecting data to draw conclusions, synthesizing and reporting customer experience data and analysis in ways that are actionable • Partners with business to understand key questions/upcoming decisions and provide customer input to business decisions. • Independently drives work forward utilizing/leveraging playbook and vendor partnerships to choose research plan and conduct qualitative/quantitative research. • Communicates analyses and insights to leaders by summarizing conclusions and solutions; translating analytics and statistics into clear, understandable themes for business leaders; identifying specific analytic results that drive actionable insights • Generates and maintains regular reports, scorecards, dashboards, and web portals. Performs operational analysis, data mining, profiling, segmenting, synthesizing, and other strategic analysis to identify emerging trends and solve complex challenges. • Promotes learning in others by providing guidance, advice, and knowledge share to other Business Intelligence team members; communicates information and drives projects forward; influencing team members within assigned business unit; adapting to competing demands and new responsibilities; provides feedback to others; including upward feedback to leadership and mentoring team members • Performs closed-loop analysis to provide data that will be used to improve the quality and performance of products and processes, both in the day-to-day operations and long-term business strategies. • Manages aspects of Customer Experience Programs—survey programming, sampling, questionnaire development, analysis, data distribution, and modernization efforts for the team.

• Design, develop, and maintain ETL/ELT pipelines in Microsoft Azure using tools such as Azure Data Factory (ADF).  • Build and optimize data models and transformations in Fabric and Graph environments for efficient data processing and analytics.  • Develop data integration solutions for ingesting, transforming, and processing structured and unstructured data from various sources.  • Work independently on projects, from gathering requirements to deployment, ensuring high-quality and scalable solutions.  • Design, develop, and optimize Power BI datasets, data models, and reports, ensuring clear, impactful visualization of business insights. • Monitor, troubleshoot, and optimize data pipelines, identifying performance issues and ensuring data integrity across systems. • Apply and enforce best practices in data architecture, security, documentation, and governance within the Azure ecosystem and Power BI. • Collaborate with cross‑functional teams to understand business needs and translate them into reliable, scalable data and reporting solutions. • Use Azure DevOps for version control, CI/CD automation, release management, and workflow orchestration. • Maintain clear documentation for data processes, reporting logic, refresh schedules, and end‑user guidance.

• Create and maintain data sources, reports, and dashboards • Facilitate accurate reporting and analysis • Analyze data and performance issues • Coordinate with team members in key departments