Analista de Proyectos

hace 3 semanas


Arganzuela, Madrid, España Repsol A tiempo completo

At Repsol, we are committed to equality and do not request personal information.

We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here, what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally, develop your career with challenging projects and collaborate with talented people worldwide. As a company committed to diversity and inclusion, we encourage all professionals who meet the job description requirements to apply.

Información clave:

Equipo: Optimización Comercial e Inteligencia de Cliente

Localización: Campus Repsol Madrid

Nivel de experiencia: Experiencia en proyectos de analítica avanzada, gestión de BB.DD, tareas de segmentación, machine learning con Python o SAS

Tipo de trabajo: A tiempo completo

Requisitos: Formación en matemáticas, ingeniería, informática, ADE + experiencia en proyectos similares + Inglés B2

Por qué te interesa:

Porque tu papel será crucial en mejorar los resultados comerciales mediante el análisis de datos y el diseño de modelos de negocio basados en datos, actuando como socio estratégico del negocio y ayudándonos en nuestro objetivo último: cuidar de nuestros clientes.

El equipo al que te unes:

Entrarás en el área de Optimización Comercial e Inteligencia de Cliente, dentro de la D.G Cliente. Serás business partner y parte de tus tareas serán definir segmentaciones de valor comercial o modelar y aplicar técnicas de inteligencia artificial para impulsar decisiones informadas y resultados económicos mejorados. Nuestra misión: comprender mejor a los clientes y sus necesidades.

Qué ofrecemos:

Un equipo feliz alcanza mejor sus objetivos. Por eso tenemos una oferta de beneficios para desarrollar tu talento, equilibrando vida personal y profesional con:

Un paquete salarial atractivo, con posibilidad de retribución flexible: seguro de salud, plan de pensiones, ticket restaurant, etc.

Horario flexible y jornada intensiva todos los viernes y verano .

Servicio que da apoyo al empleado: ayuda personal a domicilio, asistencia psicológica, asistencia enfermero/a, profesor particular, Telefarmacia o Fisioterapia.

Uso de instalaciones y servicios en tu puesto de trabajo: cafeterías, servicio médico o servicio de fisioterapia .

Tendrás éxito si:

Buscamos una persona con iniciativa que quiera crecer profesionalmente, que tenga visión analítica, capacidad de síntesis y que sea buena comunicadora, que sepa trabajar en equipo y que aporte valor al negocio actuando como business translator. Tus tareas serán:

Hacer propuestas, desarrollo e implementación de modelos y estudios basados en análisis avanzado de datos para los negocios comerciales de Repsol, enfocados en análisis de clientes y acciones comerciales.

Participar en la evaluación de programas personalizados y asesoramiento en optimización comercial y estrategia de cliente.

Trabajar en equipos multidisciplinarios como business translator y coordinarte con equipos técnicos.

Usar analítica avanzada y minería de datos para la segmentación de clientes, propuestas de campañas y evaluación de su impacto y rentabilidad.

Hacer estudios de clientes mediante clusterización, análisis de patrones y diseño de modelos estadísticos predictivos.

Diseñar, desarrollar y gestionar el mantenimiento de modelos de datos.

Sobre ti:

Tu experiencia:

Áreas/proyectos de analítica avanzada y en gestión de BB.DD. (depuración de indicadores, cuadre de datos, validación de ingestas, etc).

Tareas de segmentación, modelado estadístico, machine learning con Python o SAS, diseño de dashboard en PBI, Tableau o SAS Viya.

Experiencia profesional 4-5 años.

Tus conocimientos:

Formación en matemáticas, ingeniería, informática, ADE o similares.

Nivel avanzado en manejo de Excel, PBI, P.Point.

Manejo de herramienta como SAS guide, Alteryx, SAS Miner y Python.

Inglés B2.

#LI-UE1

Required skills:

Job posting end date:

71749



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