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.
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, innovation-driven culture that champions growth, embraces diversity, and fosters inclusion for all. See our awards →
Earn competitive pay with annual performance-based bonuses that recognize your impact
Invest in your future with our 401(k) plan featuring company matching
Stay healthy with comprehensive medical, dental, and vision coverage, plus HSA and FSA options
Recharge with paid vacation and sick days — and a paid day off for your birthday
Make an impact with two paid volunteer days to give back to your community
Advance your skills with free access to LinkedIn Learning and our education reimbursement program
Prioritize your mental health with a free premium Headspace membership
Stay active with our on-site fitness center
Refuel at fully stocked refreshment stations with complimentary drinks and snacks
Enjoy exclusive perks with access to “Tickets at Work” discounts and membership
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