Analytics Engineer

KUBRA delivers customer communications solutions to utility, insurance, and government entities across North America, serving over 40% of households in the U.S. and Canada.
Phoenix, AZ, USA
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
2+ years of experience
Enterprise SaaS
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Description For Analytics Engineer

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.

Last updated 3 months ago

Responsibilities For Analytics Engineer

  • Build reports and dashboards in Power BI or Looker
  • Provide end to end solutions from building data models in SQL/python to deploying the reports
  • Collaborate with Data Engineers/ML Engineers in building the reporting datasets
  • Work with the front end team to embed the reports and dashboards
  • Build and maintain scalable ETL/ELT pipelines
  • Design and maintain data models for analytics and reporting
  • Discover new KPIs to track business and provide better insights
  • Work with Finance and Client teams to automate manual processes and QBR reports

Requirements For Analytics Engineer

Python
  • 2-3 years in building reporting solutions
  • Knowledge of Data Modeling and Cloud Warehousing
  • Experience with SQL, Power BI/Looker
  • Databricks or dbt experience (desired)
  • Python/AWS experience (preferred)
  • Excellent written and verbal communication skills
  • Ability to influence others and build relationships
  • Excellent organization and time management skills
  • Ability to work independently in a fast-paced environment

Benefits For Analytics Engineer

401k
Mental Health Assistance
Education Budget
  • Award-winning culture fostering growth, diversity and inclusion
  • Paid birthday off
  • Free LinkedIn Learning subscription
  • Bi-annual performance-based bonuses
  • Education reimbursement program
  • Flexible schedules
  • Free refreshment stations
  • Two paid volunteer days
  • Free on-site Fitness center
  • Access to 'Tickets at Work' membership
  • Free premium Headspace membership
  • 401k Matching

Interested in this job?