Dashboarding & Domain Learning: Focus on building interactive and insightful Tableau dashboards
Feature Engineering: Architect and transform raw telemetry and customer profile data into high-signal features
ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly detection, etc.)
Proactive Problem Solving: Identify potential customer friction points before they become issues
KPI Development & Stakeholder Presentation: Collaborate with leaders to define critical business KPIs

Minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights
SQL Mastery: You write clean, efficient, and complex queries at an expert level
BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards
Strong experience with Google Cloud Platform, specifically BigQuery and its integration with ML tools
Practical experience managing the production lifecycle, monitoring, versioning, and ensuring timely model retraining
Excellent Communication Skills: Proven track record of analyzing high-volume data and presenting key findings to senior-level audiences
Background in analyzing high-volume telemetry or IoT data (preferred)
GCP Professional Machine Learning Engineer Certification (preferred)

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
And much more …

Senior Data Analyst, L4

Key skills