Analytics Engineer

KUBRA HQ is an AI-powered, cloud-native platform that unifies billing, payments, and customer experience solutions. 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.
• Advanced certifications in analytics or BI tools are preferred.

• 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.

• 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…