Data Analyst

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

LI-ED1

2539422

J-18808-Ljbffr

J-18808-Ljbffr