• Assist the team in developing and maintaining our core analytics stack, including data ingestion pipelines, transformation jobs, and reporting infrastructure for our hardware and supply chain operations. • Contribute to our codebase (in SQL & Python) to automate processes and improve data quality checks. • Create and maintain reports in Looker to get insights on everything related to our products, their life-cycle and the inner logistics of our supply chain management. • Act as a point of contact for the hardware team, helping them with adhoc data analyses, questions around reporting tools and prioritizing incoming analytics tasks. • Build new dashboards to analyse business processes and give recommendations based on the findings. • Help us improve our reports by identifying areas for enhancement and contributing to our technical documentation to ensure our tools are easy to use. • Actively participate in team meetings, learn about our architecture, and absorb as much knowledge as you can from our experienced team.

• Help build and maintain our Single Source of Truth for signal activity and revenue performance. • Work with large-scale datasets across AWS and DataBricks. • Transform complex signal data into clear insights through Looker dashboards. • Collaborate closely with Finance, Technology, and Business teams to ensure data reliability. • Define and evolve company’s Single Source of Truth for signal activity, revenue attribution, and product performance. • Help monitor signal delivery and data health using AWS logs and Datadog. • Maintain data integrity across Last Activity API and Activity Signal products.

• Implement and maintain data ingestion processes, data models, and report visualizations within BI platforms. • Design, develop, and maintain Power BI reports and dashboards for data insights. • Participate in requirements gathering activities and lead development efforts. • Work within an agile framework by tracking work tasks and time spent. • Maintain and administer data models, connections, and ETL processes within MS Fabric or other BI tools. • Create supporting documentation for new solutions, processes, and reports. • Collaborate with stakeholders to understand their data visualization and process automation needs.

• Design, develop, and maintain complex reports and dashboards for business stakeholders using diverse data sources (Azure SQL, SharePoint, Excel, Dataverse, REST APIs) • Implement DAX measures for multi-currency aggregation, fiscal year calculations, and KPIs • Create Paginated Reports for operational outputs; maintain the Power BI semantic layer (datasets, measures, shared datasets) • Publish and manage Power BI Service workspaces, scheduled refresh, and dataset permissions • Support data quality investigations by tracing discrepancies through the ETL chain • Collaborate with stakeholders