About the role

Analytics Engineer turning data into meaningful insights for KUBRA's customer communication and billing solutions. Collaborate with teams to enable data-driven business decisions using KUBRA HQ platform.

Responsibilities

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.

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**