CoverWallet, an Aon company, was founded in 2015 to reinvent the $100 billion small business insurance industry by using data, design, and technology. As a part of Aon, a leading global professional services firm providing a broad range of risk, retirement and health solutions with 50,000 colleagues in 120 countries, CoverWallet has the mentality and culture of a high-growth startup with the backing and support of a global multinational company.
CoverWallet is the easiest way for businesses to understand, buy, and manage insurance online and has been recognized as a CNBC Upstart 100, won the Best Insurtech Solution from the Benzinga Awards and was named “One of the Most Entrepreneurial Companies in America” by Entrepreneur Magazine.
Job Summary:
The Analytics Engineer will be responsible for building robust analytical platforms to support data-driven initiatives across the company. You will be working closely with both our Data Analysts/Scientists and Data Engineers in order to build strong data foundations and a best-in-class platform, and will be experienced in implementing and expanding modern data workflows.
Essential Job Functions:
- Partner with the Analytics and Data Engineering teams to understand problems-to-be-solved with our current data platform, identify solutions, and deliver high-quality data foundations to data stakeholders across the business.
- Create and own efficient and scalable core data objects and transformations that unify key data assets and streamline analytical workflows.
- Evolve our data platform using a modern data engineering stack, including data warehousing, data workflow platforms, data validation products, and other necessary technologies.
- Work with cross-functional stakeholders (Product, Marketing, Operations, Finance) to curate, define, and document company-wide sources of (data) truth.
Qualifications:
- +3 years of experience in data roles with a substantial engineering component, working with modern analytics teams in high-growth, high-performance environments.
- Track record of collaborating with other data professionals and technical teams to develop a data platform, including upstream requirements, data model, desired data workflows, etc.
- Experience working with multiple data platform components, including reporting tools (Looker, Tableau, etc.) and data transformation systems (Airflow, dbt). Experience in data warehousing is a plus (such as Redshift, or Snowflake).
- Highly proficient in SQL and the ability to own data transformations
- Comfortable driving multiple stages of data tools project cycle, eg identification of data platform problems-to-be solved, solution evaluation (buy vs. build), proof-of-concept, and final solution implementation.
- Familiarity with Python or similar languages in a production environment.
- Experience working in Agile environments, preferably with Jira and Asana and ability to work in a fast-paced environment.
- Strong written and verbal communication skills (technical and non-technical)
- Strong quantitative reasoning skills and experience using data to provide insights to executive leadership and other departments.
You will receive a competitive salary and work in a highly collaborative environment. We are a fast-paced, growing firm that is the perfect place for a goal-oriented, hardworking individual who is looking to make a difference. We expect massive growth over the next few years, which means you can expect plenty of opportunities for advancement.