KUBRA, a Hearst subsidiary, is seeking an Analytics Engineer to strengthen their data-driven decision-making capabilities. This role is crucial in developing and maintaining the foundation of their data infrastructure, enabling self-service analytics across the organization. The position offers a unique opportunity to work with a company that handles over 1.5 billion customer interactions annually and serves 40% of households in the U.S. and Canada.
The ideal candidate will be responsible for building and maintaining data models, creating interactive dashboards, and developing ETL/ELT pipelines. They will work closely with Data Engineers, ML Engineers, and front-end teams to deliver comprehensive data solutions. The role requires proficiency in SQL, Python, and visualization tools like Power BI or Looker.
The company offers an excellent work environment that balances professional growth with personal well-being. Benefits include education reimbursement, flexible schedules, performance bonuses, and various wellness perks. The hybrid work arrangement based in Tempe, AZ, provides flexibility while maintaining team collaboration.
KUBRA's commitment to innovation in customer communications solutions for utility, insurance, and government sectors makes this an exciting opportunity for someone looking to make a significant impact. The company's size allows for both individual creativity and stable career growth, making it an ideal environment for a data professional looking to advance their career while working on meaningful projects.