Descripción de la oferta
Cheil Worldwide is a full-service agency from brand building to digital transformations creating excellent data-driven experiences for every customer. As part of Cheil Worldwide, Cheil Spain plays its part in one of the world’s biggest agency networks – comprising 53 offices and 8 affiliates in 43 countries globally with more than 7.000 employees and 600 clients around the world. Cheil Spain is made up of 160 employees from different disciplines, who are passionate about innovation in all its forms. We like to challenge our clients to make sure they are one-step ahead of their brand image. You will be part of the Retail Go-To-Market team, which manages the excellence a leading smartphone brand’s retail network, aligned with its product launches. As we expand our services, we are launching a new business area: Data-Driven Retail Strategy Service. THE ROLE The Senior Retail BI Analyst owns the Retail Dashboard and the full journey of in-store data, from how the GPVs (field merchandisers) collect it in stores to the insights that shape the client’s retail strategy. A detail-oriented, business-minded analyst, he/she combines strong BI skills with a solid understanding of retail execution and communicates insights clearly to both technical and non-technical audiences. The responsibilities of the role: Manage, maintain and evolve the Retail Dashboard. Design the In-Store Data Journey around how GPVs operate in stores. Develop data models and reporting modules tailored to client needs. Ensure field data quality through validation, cleaning and consistency checks. Turn data into actionable insights that support retail strategy. Prepare clear results for the client and internal stakeholders. Work with the Field Merchandising Service Manager and the GPV provider to define data collection. Document KPIs, data definitions and processes. Experience and Skills: 5+ years in retail Business Intelligence or Analytics, gained in a retail company, with hands-on ownership of retail dashboards and digital tools. Strong skills in Power BI, SQL and advanced Excel; experience in data modeling. Solid knowledge of retail and in-store data collection KPIs. Data storytelling skills for non-technical audiences. Degree in Business, Statistics, Data Analytics, Engineering or a related field. #J-18808-Ljbffr
