Analytics Engineer

KUBRA-posted 5 days ago
Full-time • Mid Level
Hybrid • Tempe, AZ
501-1,000 employees
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KUBRA HQ is KUBRA’s unified, AI-powered, cloud-native platform that brings together all of our billing, payments, and customer experience solutions under one scalable system. It serves as the foundation for KUBRA’s products — from payments and alerts to portals and analytics — enabling clients to manage the entire customer communication and billing journey seamlessly. As part of the KUBRA HQ team, the Analytics Engineer plays a key role in turning KHQ’s data into meaningful insights for both internal teams and external clients. This role helps shape how business leaders, operations teams, and clients make data-driven decisions using trusted, real-time information from the KUBRA HQ platform. This is a hybrid opportunity in Tempe, AZ.

  • Own a curated catalog of business metrics and KPIs, ensuring consistent definitions and alignment across products and clients.
  • Design, build, and automate dashboards and reports in Power BI and Looker, backed by robust data models and clear analytical logic.
  • Partner with Data Engineering to define reporting datasets, enforce data quality checks, and uphold governance standards.
  • Deliver accurate, timely reports and dashboards to stakeholders with high reliability and attention to detail.
  • Conduct in-depth analysis to identify trends, drivers, and opportunities, providing actionable recommendations to business leaders.
  • Automate recurring reporting processes (e.g., QBRs, client packages) using reusable datasets, templates, and semantic layers.
  • Model, query, and transform data using SQL; maintain performant data pipelines, refresh schedules, and access controls.
  • Collaborate with Data Science to support experiments and track ML/AI outcomes through production dashboards.
  • Partner with cross-functional teams (Product, CXT, Finance, Client Success) to align metrics with company and client goals.
  • Document analytical logic, KPI definitions, data lineage, and assumptions to enable self-service and knowledge sharing.
  • Implement QA for data assets, including validation, regression testing, and monitoring for anomalies.
  • Stay current with BI and analytics tools and best practices; recommend and adopt improvements that enhance reliability, performance, or usability.
  • 3–5 years of experience in data analysis and reporting, preferably within product or SaaS environments.
  • Hands‑on proficiency with SQL and Looker.
  • Experience building end‑to‑end reporting solutions from data modeling to dashboard deployment and support.
  • Familiarity with LookML, model/view development and performance tuning, data warehousing concepts and ETL/ELT practices; exposure to cloud platforms (AWS/Azure) is preferred.
  • Experience collaborating with Data Engineering and Data Science teams; Python/ML/AI experience is an asset.
  • Undergraduate degree in a related discipline (e.g., Computer Science, Statistics, Analytics, Mathematics, Engineering, Economics) or equivalent experience.
  • Excellent problem-solving, communication (oral and written), and data storytelling skills; ability to translate analysis into clear narratives and actionable business recommendations.
  • Strong analytical skills with experience working with large and complex datasets; meticulous attention to detail.
  • Familiarity with Python for advanced analysis and data manipulation.
  • Ability to define and maintain KPIs and translate business questions into analytical requirements.
  • Solid understanding of data governance, cataloging, and metric standardization.
  • Excellent organizational and time management skills; able to manage multiple priorities under tight deadlines.
  • Proactive, collaborative, and client-focused mindset with strong influence and impact skills.
  • Advanced certifications in analytics or BI tools are preferred.
  • Experience collaborating with Data Engineering and Data Science teams; Python/ML/AI experience is an asset.
  • Familiarity with LookML, model/view development and performance tuning, data warehousing concepts and ETL/ELT practices; exposure to cloud platforms (AWS/Azure) is preferred.
  • Thrive in an award-winning culture that champions growth, embraces diversity, and fosters inclusion for all.
  • Earn annual performance-based bonuses recognizing your contributions
  • Enjoy generous benefit coverage with low premiums, plus a Healthcare Spending Account and Wellness Spending Account
  • Invest in your future with RRSP matching
  • Take time to recharge with paid vacation and sick days, and enjoy a paid day off for your birthday
  • Make a difference with two paid volunteer days to support causes you care about
  • Keep learning with free access to LinkedIn Learning and our education reimbursement program for continued development
  • Feel appreciated through our employee recognition programs
  • Support your mental health with a free premium Headspace membership
  • Stay refreshed with unlimited access to fully stocked beverage stations
  • Save more with exclusive Perkopolis retail discounts
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