Analytics Engineer

KUBRA delivers customer communications solutions to utility, insurance, and government entities across North America, handling over 1.5 billion customer interactions annually.
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
2+ years of experience
Enterprise SaaS

Description For Analytics Engineer

KUBRA is a dynamic company that specializes in customer communications solutions, serving major utility, insurance, and government entities across North America. As an Analytics Engineer, you'll play a crucial role in building and maintaining the company's data infrastructure and analytics capabilities. The position offers a perfect blend of technical challenges and business impact, where you'll work with modern tools like Power BI, Looker, SQL, and Python to create end-to-end data solutions.

The role combines hands-on technical work with collaborative opportunities, as you'll interact with various teams including Data Engineers, ML Engineers, and front-end developers. You'll be responsible for everything from building ETL/ELT pipelines to creating interactive dashboards that drive business decisions. The position requires both technical expertise and strong communication skills, as you'll be working closely with Finance and Client teams to automate processes and deliver insights.

KUBRA offers an excellent work environment that balances professional growth with personal well-being. The company provides comprehensive benefits including education reimbursement, flexible schedules, and mental health support through Headspace membership. The hybrid work model based in Mississauga, ON, offers the perfect balance of collaboration and flexibility.

This role is ideal for someone with 2-3 years of experience who is passionate about data analytics and wants to make a significant impact in a growing company. You'll be joining a fast-paced environment that values creativity and self-motivation, with the stability of being part of the larger Hearst corporation. The company's reach of over 40% of households in the U.S. and Canada means your work will have a substantial impact on millions of customer interactions.

Last updated an hour 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
  • Excellent organization, time management, and analytical skills
  • Ability to work independently in a fast-paced environment

Benefits For Analytics Engineer

401k
Medical Insurance
Mental Health Assistance
Education Budget
  • Award-winning culture fostering growth, diversity and inclusion
  • Paid birthday day off
  • Access to LinkedIn learning courses
  • Bi-annual performance-based bonus
  • Education reimbursement program
  • Flexible schedules
  • Free refreshment stations
  • Two paid volunteer days
  • Free premium Headspace membership
  • Perkopolis retail discounts
  • Generous benefit coverage with low premiums
  • Health Care Spending Account
  • RRSP Matching

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