Senior Analytics Engineer developing scalable analytics models for real - world health data. Leading strategic initiatives and mentoring teams in a hybrid environment in London.
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.
Requirements
- 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.
Benefits
- 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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