• 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.

• Support the end‑to‑end data‑to‑insight lifecycle, working with colleagues across the Sales Enablement & Technologies team and wider commercial and sales teams. • Supporting the design, build and maintenance of Power BI reports and dashboards • Helping to improve visibility of the sales pipeline, forecasting and performance reporting • Producing campaign, account and customer engagement reporting to support sales teams • Supporting Power BI governance, standards and best practice • Monitoring and maintaining Power Automate flows that underpin reporting and data pipelines • Assisting with data quality checks, approvals and reporting integrity • Supporting the maintenance of dataflows and semantic models • Assisting with ETL processes and supporting day‑to‑day Alteryx administration, including running, monitoring and validating workflows used in reporting pipelines • Working with developers and analysts to help maintain clean, structured and scalable data models • Supporting forecasting and revenue planning analysis • Assisting with SAP‑driven analysis for renewals, retention and “renew & grow” activity • Helping to identify trends, risks and opportunities within the sales pipeline through analysis and reporting.