Role Description Our client is looking for a PowerBI engineer to build dashboards and reports related to S4 transformation. They are looking for someone with hands-on experience working across multiple common data layers. - Client is building out their data platform and need a Power BI developer to generate new reports. - This person will design and prepare data for visualization as appropriate for the use case, performance, and security. - Provide qualitative and descriptive metadata to support a robust data catalog. - Provide input on key business data sets to Data Intelligence Manager to help establish roadmap for certified data plan. - Apply data architecture best practices when querying or modeling data for both relational and NoSQL databases. - Support release and QA activities for data pipelines & dashboards enhancements, including the development and execution of testing strategies. Qualifications - Hands-on experience with Power BI and building dashboards and reports. - Databricks Requirements - Pharma experience and experience with Jira

• Design and write complex SQL queries to aggregate auction data AWS. • Structure large-scale event data into a centralized data warehouse. • Build and maintain data models that define core business metrics. • Ensure Finance, Technology, and Business teams are working from consistent and reliable data. • Lead the transition from legacy reporting tools to Looker. • Develop LookML models and dashboards tracking signal volume, API performance, and customer activity trends. • Partner with Finance to measure unit economics, margin by signal type, and revenue attribution. • Partner with Technology teams to monitor signal delivery and data health using AWS logs and Datadog. • Partner with Business Units to build profitability views showing which signal channels drive the most value. • Maintain data integrity across Last Activity API and Activity Signal products. • Identify and resolve data discrepancies and latency issues before they impact reporting or billing accuracy. • Define and document analytics standards and best practices for the broader team.

Role Description As the Supervisor Business Intelligence (All), you will act as a senior technical individual contributor, leveraging your expertise to optimize and scale our highly mature, dbt-powered data framework without the overhead of people management. Equipped with advanced cloud resources and AI tools, you will drive massive impact by writing code, architecting data pipelines, and building React-based applications and Agentic AI integrations. - Expansion: Maximize and scale our mature, enterprise-grade dbt framework to support complex media reporting while optimizing Data Warehouse performance, SQL queries, and cost-efficiency. - Governance: Own and elevate our GitLab CI/CD pipelines to guarantee seamless version control, automated testing, and secure deployment of all data models. - Application: Develop and maintain lightweight, high-impact React-based frontends that interface directly with our Data Warehouse to streamline reporting and operational workflows. - Deployment: Manage the deployment of custom web applications using GitHub Actions while leveraging Google Cloud Platform (GCP) services to host, scale, and secure them. - Acceleration: Leverage generative AI tools like GitHub Copilot to speed up your own coding while building custom automation tools for the wider team. - Innovation: Prototype and deploy Agentic AI, LLM-powered tools, and smart dbt integrations to automate manual processes and revolutionize how we interact with media data. Qualifications - Extensive, practical experience working with large-scale, enterprise-grade dbt projects and complex SQL databases. - Advanced experience managing repositories, branching strategies, and automated CI/CD pipelines within GitLab. - Hands-on experience building lightweight, high-impact React applications. - Skilled in deploying applications to Google Cloud Platform (GCP) and managing deployments via GitHub Actions. - A GenAI power-user with experience or a strong passion for building AI agents, working with LLM APIs, and orchestrating agentic workflows. - Ability to lead through technical excellence and architectural guidance, preferring to mentor and build rather than handle administrative management. Benefits - Work-Life Balance: Flexible working hours & remote work options. - Vacation Mode On: 30 vacation days plus one flexible day; 24th and 31st of December are free. - Wellbeing First: Health benefits, attractive retirement plans, and Mental Health Awareness Days. - Practice Makes Perfect: Diverse training opportunities and internal career programs. - More Than Just a Job: Unforgettable events, employee discounts, Job Ticket, Wellhub, or Job Bike. - Be Yourself: Commitment to diversity and equal opportunities. Company Description WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. WPP Media is WPP’s global media collective, creating limitless opportunities for growth.

• Soporte funcional y técnico de soluciones de Business Intelligence • Análisis y resolución de incidencias en entornos de reporting y analítica • Desarrollo y evolución de cuadros de mando e informes • Diseño y optimización de consultas SQL • Participación en mejoras evolutivas de plataformas de datos y reporting • Colaboración con usuarios de negocio para identificar oportunidades de mejora • Supervisión de la calidad, disponibilidad y rendimiento de las soluciones BI • Trabajo coordinado con equipos internacionales y multidisciplinares.