Data Analyst

Aon; Salamanca; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

Join a leading InsurTech company as a Data Analyst, contributing to the revolution of insurance management. In this role, you'll leverage your data skills to build analytical platforms, deliver strategic insights, and collaborate with various teams to enhance data-driven initiatives. If you thrive in a fast-paced environment, enjoy problem-solving, and have a passion for data, we want you on our team!

Formación

• 2-4 years of experience as a Data Analyst.
• Experience with Looker and SQL is highly necessary.
• Capabilities in communication and problem-solving in a fast-paced environment.

Responsabilidades

• Build critical dashboards using Looker for business performance.
• Democratize data through strategic data structuring.
• Provide insights based on data analysis to support strategic decisions.

Conocimientos

SQL

Data Visualization

Analytical Skills

Problem Solving

Quantitative Reasoning

Herramientas

Looker

Tableau

Power BI

Jira

Python

Descripción del empleo

At CoverWallet we are determined to revolutionize the insurance industry! We launched in 2015 and since then 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 turned insurance management and processing into a simple, fast and convenient process for our clients. All online, in minutes!

Our passion is in delivering innovation and value creation through technology, and our mission is to become the world’s leading InsurTech . For this, we have built an incredible team of ~800 people based in New York, Spain, Poland and Singapore. Success is guaranteed as we are an Aon company, the global leaders in risk, retirement and health solutions with 50,000 colleagues worldwide. We combine the mentality and culture of a high-growth startup with the backing and support of a global multinational. The best of both worlds in one company - what could we ask more?

About the role

As a Data Analyst , you will be responsible for building robust analytical platforms to support data-driven initiatives across the company. In this role, you will deliver strategic analysis on high priority initiatives across the entire organization. You will be working closely with Product, Marketing, Sales, and Operations in providing them with awareness of real-time data. You will be expected to deliver data-driven insights that will play an integral role in defining the company’s data model.

A typical day

• Use Looker to build critical dashboards that will measure business performance, hold teams accountable, and generate insights.
• Democratize data through strategic data structuring by developing Looker explores to support our internal collaborators.
• Own data analysis and visualization, and communicate the outcomes / insights to various collaborators that will be utilized to make strategic decisions for improvements.
• Partner with the Analytics and Data Engineering teams to understand current problems with our existing data platform, identity solutions, and deliver high quality data foundations to data stakeholders across multiple business lines.
• Work cross-functionally with Product, Sales, Operations, and Marketing to provide them with visibility to real-time data on existing and new processes.

What you need to succeed

• About 2 - 4 years of experience in a data analyst role.
• Highly proficient in SQL
• Experience using visualization tools, preferably Looker, Tableau, or Power BI.
• Experience working in Agile environments, preferably with Jira.
• Extra Credit - Exposure to data modeling and transformation tools like dbt and experience with data analysis and building data pipelines with Python.
• Strong written and verbal communication skills.
• Problem solver with excellent analytical skills.
• Hability to work in a fast-paced environment.
• Comfortable working on multiple projects simultaneously.
• Strong quantitative reasoning skills and experience using data to provide insights to executive leadership and other departments.

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