Analytics Engineer
This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.
Job Description
Are you passionate about data and motivated by turning it into real business decisions? If you are a curious person with an analytical mindset, a desire to build, and a drive to go beyond the data... keep reading! π
As an Analytics Engineer π’ you will be part of the Data & Business team, with the goal of transforming data into a competitive advantage for the business. In your day-to-day, you will work in an international retail environment, collaborating with different teams and participating in projects with a direct impact on strategic and operational decisions at a key moment of evolution.
What do we offer you? π
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Flexible hours: Balance your personal and professional life with a start time between 8:00 and 9:30 and a finish time from 17:00 onwards, and Friday afternoons will be free for you.
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Unique facilities: Experience the #TOUSLifestyle in unique facilities with spaces that inspire and enhance collaboration and networking with our #HQ-TOUSCommunity.
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Boutique Restaurant: When you come to headquarters, you can benefit from a daily menu with local products starting from β¬3. During your breaks, you'll love our coffee bar. We want you to take care of yourselfπ!
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Great working environment: Good camaraderie and the human quality of our people come first, so it will be easy for you to adapt and feel integrated from the first minute.
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30% discount on all our products. Additionally, you can enjoy special sales throughout the year. If you aren't one already, you'll end up becoming a #TOUSLover.
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Salary flexibility: You can allocate part of your salary to services such as health insurance, meal cards, or personalized training courses, saving on taxes.
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Tailored onboarding plan: Get first-hand knowledge of the heart of our business through a Shop Experience, and visit our production center and logistics center to learn about our entire value chain. Additionally, we will introduce you to the key contacts you will work with daily, so you feel right at home.
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TOUS Connect: All the information you need with a single click! You will have a corporate intranet to keep you up to date with everything happening in the company.
What will make you succeed in the team? π§
* Experience in roles such as Data Analyst, Data Engineer, BI Engineer, or similar.
* Very strong command of SQL.
* Experience in data modeling oriented towards analysis.
* Ability to understand business needs and translate them into data solutions.
* Experience building datasets, metrics, and dashboards for business users.
* Experience working with cloud environments (GCP, Azure, or AWS).
* Analytical mindset, attention to detail, and a critical spirit regarding data.
* Good communication skills with both technical and business stakeholders.
* Experience in retail, e-commerce, or omnichannel environments, as well as knowledge of business metrics (sales, stock, customer...), will be especially valued.
* If you also know tools like dbt, BI tools (Looker, Power BI, Tableau...), or others in the data ecosystem, it will be a plus!
Responsibilities and opportunities π
* You will design and develop data models oriented towards analysis and reporting.
* You will build reliable, documented datasets ready for consumption by the business and analytics teams.
* You will translate business needs into scalable data solutions.
* You will define and standardize KPIs, metrics, and business rules.
* You will collaborate with teams such as Retail, E-commerce, Finance, CRM, or Operations.
* You will ensure the quality, consistency, and traceability of the data used in decision-making.
* You will participate in the creation and improvement of dashboards and reporting tools.
* You will act as a bridge between the business, BI, and Data Engineering.
* You will identify improvement opportunities through data analysis.
If you want this position to be yours, apply now!
Be yourself; the key to success is YOUR ATTITUDE. Are you IN?
WE ARE WAITING FOR YOU!
View original advert (Spanish)
ΒΏTe apasionan los datos y te motiva convertirlos en decisiones reales de negocio? Si eres una persona curiosa, con mentalidad analΓtica, ganas de construir y de ir mΓ‘s allΓ‘ del dato... Β‘sigue leyendo! π
Como Analytics Engineer π’ formarΓ‘s parte del equipo de Data & Business, con el objetivo de transformar los datos en una ventaja competitiva para el negocio. En tu dΓa a dΓa, trabajarΓ‘s en un entorno retail internacional, colaborando con diferentes equipos y participando en proyectos con impacto directo en decisiones estratΓ©gicas y operativas en un momento clave de evoluciΓ³n.
ΒΏQuΓ© te ofrecemos? π
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Flexibilidad horaria: ConciliarΓ‘s tu vida personal y profesional con horario de entrada entre las 8:00 y 9:30 y de salida a partir de las 17:00h y los viernes tarde serΓ‘n libres para ti.
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Instalaciones ΓΊnicas: vivirΓ‘s la experiencia #TOUSLifestyle en unas instalaciones ΓΊnicas con espacios que inspiran y potencian la colaboraciΓ³n y el networking con nuestra #HQ-TOUSCommunity.
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Boutique Restaurant: cuando vengas a la central, podrΓ‘s beneficiarte de un menΓΊ diario con productos de proximidad a partir de 3β¬. En tus breaks, te encantarΓ‘ nuestro coffee bar. Β‘Queremos que te cuidesπ!
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Buen ambiente de trabajo: el buen compaΓ±erismo y la calidad humana de nuestras personas son lo primero, por lo que te serΓ‘ fΓ‘cil adaptarte y sentirte integrado desde el primer minuto.
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30% de descuento en todos nuestros productos. AdemΓ‘s, podrΓ‘s disfrutar de ventas especiales durante todo el aΓ±o. Si no lo eres ya, acabarΓ‘s convirtiΓ©ndote en un #TOUSLover.
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Flexibilidad en tu salario: podrΓ‘s destinar una parte de tu salario a servicios como seguro de salud, tarjeta comida o cursos de formaciΓ³n personalizados, ahorrΓ‘ndote impuestos.
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Plan de onboarding a medida: conocerΓ‘s de primera mano el corazΓ³n de nuestro negocio a travΓ©s de una Shop Experience, visitarΓ‘s nuestro centro de producciΓ³n y centro logΓstico para conocer toda nuestra cadena de valor. AdemΓ‘s, te presentaremos a los key contacts con los que trabajarΓ‘s diariamente, para que te sientas como en casa.
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TOUS Connect: Β‘toda la informaciΓ³n que necesitas con un solo clic! ContarΓ‘s con una intranet corporativa para mantenerte al tanto de todo lo que estΓ‘ pasando en la compaΓ±Γa
ΒΏQuΓ© te harΓ‘ triunfar en el equipo? π§
* Experiencia en roles como Data Analyst, Data Engineer, BI Engineer o similares.
* Muy buen dominio de SQL.
* Experiencia en modelado de datos orientados a anΓ‘lisis.
* Capacidad para entender necesidades de negocio y traducirlas en soluciones de datos.
* Experiencia construyendo datasets, mΓ©tricas y dashboards para usuarios de negocio.
* Experiencia trabajando con entornos cloud (GCP, Azure o AWS).
* Mentalidad analΓtica, orientaciΓ³n al detalle y espΓritu crΓtico con el dato.
* Buenas habilidades de comunicaciΓ³n con stakeholders tΓ©cnicos y de negocio.
* Valoraremos especialmente experiencia en entornos retail, e-commerce u omnicanalidad, asΓ como conocimiento de mΓ©tricas de negocio (ventas, stock, cliente...).
* Si ademΓ‘s conoces herramientas como dbt, herramientas BI (Looker, Power BI, Tableau...) u otras del ecosistema de datos, Β‘serΓ‘ un plus!
Responsabilidades y oportunidades π
* DiseΓ±arΓ‘s y desarrollarΓ‘s modelos de datos orientados al anΓ‘lisis y reporting.
* ConstruirΓ‘s datasets fiables, documentados y listos para su consumo por negocio y equipos de analytics.
* TraducirΓ‘s necesidades de negocio en soluciones de datos escalables.
* DefinirΓ‘s y estandarizarΓ‘s KPIs, mΓ©tricas y reglas de negocio.
* ColaborarΓ‘s con equipos como Retail, E-commerce, Finance, CRM u Operations.
* AsegurarΓ‘s la calidad, consistencia y trazabilidad de los datos utilizados en la toma de decisiones.
* ParticiparΓ‘s en la creaciΓ³n y mejora de dashboards y herramientas de reporting.
* ActuarΓ‘s como puente entre negocio, BI y Data Engineering.
* IdentificarΓ‘s oportunidades de mejora a travΓ©s del anΓ‘lisis de datos.
Β‘Si quieres que la posiciΓ³n sea tuya, inscrΓbete ya!
SΓ© tΓΊ mismx, la clave del Γ©xito es TU ACTITUD. Are you IN?
Β‘TE ESPERAMOS!