¡Activa las notificaciones laborales por email!

Data Analyst

CoverWallet, an Aon company

Madrid

Híbrido

EUR 40.000 - 70.000

Jornada completa

Hace 3 días
Sé de los primeros/as/es en solicitar esta vacante

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

CoverWallet is revolutionizing the insurance industry by providing a digital platform for small and medium-sized companies. The Senior Data Analyst will play a critical role in ensuring the integrity of our data models, managing our Looker instance, and collaborating with various teams to drive data-driven initiatives. This position offers flexible work options in a vibrant environment that fosters innovation and professional growth.

Servicios

Company-paid life, accident, and medical insurance
Flexible compensation plan (meal tickets, transport card, daycare checks)
Annual training budget of €1,500
Discount platform for purchases
Participation in hackathons, meetups, and tech talks

Formación

  • 5+ years as a data analyst.
  • High proficiency in SQL and data modeling.
  • Experience with Looker and Python.

Responsabilidades

  • Build and maintain Looker dashboards to measure business performance.
  • Ensure integrity of data models and collaborate with engineering teams.
  • Communicate complex data insights clearly to stakeholders.

Conocimientos

SQL
Problem-Solving
Analytical Skills
Communication
Quantitative Reasoning
Agile Methodologies
Data Modeling
Python

Herramientas

Looker
Jira
dbt

Descripción del empleo

Who we are : At CoverWallet, we are determined to revolutionize the insurance industry Launched in 2015, we are the leading digital platform for contracting insurance for small and medium-sized companies. Thanks to state-of-the-art technology and meticulous design, we have simplified insurance management and processing into a fast, convenient online process, completed in minutes

Our passion lies in delivering innovation and value through technology. Our mission is to become the world's leading InsurTech. As part of Aon, a global leader in risk, retirement, and health solutions with 50,000 colleagues worldwide, we combine a high-growth startup culture with the support of a multinational corporation. This unique blend offers the best of both worlds.

Role Overview : Senior Data Analyst

The Senior Data Analyst will be responsible for building robust analytical platforms to support data-driven initiatives across the company. Key responsibilities include ensuring the technical integrity of our data model, managing our Looker instance, and collaborating with analytics engineers. You will define and maintain the company's data model and ensure its scalability.

  • Use Looker to build and maintain dashboards that measure business performance and generate insights.
  • Ensure the integrity of our data model by developing and maintaining Looker explores and reports.
  • Manage our Looker instance for optimal performance and scalability.
  • Design and implement scalable Looker data models for efficient data analysis.
  • Review and ensure the quality of code from peers, focusing on data integrity and best practices.
  • Collaborate with Analytics Engineering and Data Engineering teams to resolve issues and deliver high-quality data foundations.
  • Work cross-functionally with teams such as Product, Operations, Data Platform, and Salesforce Engineering.
  • Communicate complex data insights clearly to business stakeholders.
  • 5+ years of experience as a data analyst.
  • High proficiency in SQL.
  • Ability to design scalable Looker data models.
  • Experience working in Agile environments, preferably with Jira.
  • Strong communication skills in English; Spanish is a plus.
  • Excellent problem-solving and analytical skills.
  • Ability to handle multiple projects in a fast-paced environment.
  • Strong quantitative reasoning skills and experience providing insights to leadership.
  • Experience with dbt modeling.
  • Experience with data analysis and building data pipelines using Python.

Why Join Us

Be a key player in transforming a major industry within a highly developed digital market. Work in a cutting-edge tech environment with a diverse, global team. Enjoy flexible work options—full remote or hybrid—tailored to your preferences.

Perks include company-paid life, accident, and medical insurance, plus dental coverage. Benefit from a flexible compensation plan (meal tickets, transport card, daycare checks, external training, pension scheme). Receive an annual training budget of €1,500 for courses, certifications, or books. Save on purchases through our discount platform, BigPocket, and participate in activities like hackathons, meetups, tech talks, and more

J-18808-Ljbffr

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.