• Model and document new datasets (both structured and semi-structured) to exploit the value therein across all our business units • Partner with subject matter experts to document, align and automate business metrics that define success • Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits • Own the design, monitoring, and deployment of certified data sources on our reporting platforms and warehouses • Insist on the highest standards for data reproducibility, auditability and compliance • Serve as a subject matter expert for data strategy thought leadership and implementation across the business • Enable non-BI&A team stakeholders to adopt data as part of their business and usual

• Own Reporting Reliability & Data Quality • Ensure dashboards and reports are accurate, reliable, and always available • Implement monitoring, alerting, and SLAs for critical reporting assets • Investigate and resolve data issues with a clear root-cause analysis • Build Scalable Data Models • Design and optimize SQL transformations and data models • Improve the performance of datasets and reporting queries • Reduce duplication by centralizing business logic in the data layer • Deliver High-Impact BI Solutions • Build and maintain dashboards, reports, and analytical tools • Translate business needs into scalable BI solutions • Deliver projects with clear estimation and predictable execution • Ensure Data Trust & Observability • Implement data validation checks and anomaly detection • Proactively identify issues before they impact stakeholders • Improve overall data quality across pipelines and reporting • Partner with the Business • Act as a trusted partner for Marketing and commercial teams • Define and maintain key metrics (CAC, ROAS, conversion funnels, etc.) • Generate insights that directly influence business decisions

• Help define and standardize key business metrics in collaboration with stakeholders • Develop and maintain dashboards and reports that give business teams reliable, selfserve access to the metrics that matter most to them • Build and maintain semantic layer views that serve as the trusted, centralized definitions of key business metrics • Use AI-assisted development tools to improve the speed and quality of data modeling work and for documentation generation, anomaly detection, and surfacing insights from complex datasets • Partner closely with analysts and business stakeholders to understand data needs and translate them into durable, reusable solutions • Serve as a trusted resource for analysts and downstream consumers • Communicate clearly across technical and non-technical audiences, making complex data concepts accessible without oversimplifying them

• Develop and maintain scalable data models using dbt within a Redshift environment. • Write complex, high-performance SQL queries to transform, analyze, and validate large datasets. • Own and optimize the Tableau reporting layer, including dashboard development, data source management, and performance tuning. • Partner cross-functionally with business stakeholders to translate ambiguous business questions into actionable data solutions. • Build reusable, well-documented datasets and reporting assets that support scalable self-service analytics. • Monitor and improve data quality, integrity, and consistency across multiple data sources. • Optimize Redshift query performance and support cost-efficient data operations. • Deliver both recurring operational reporting and high-priority ad hoc analyses to support business decision-making.