3 дня назад
Analyst, Platform & Enablement (Data Analytics)
122 010 - 165 070CAD
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Analyst, Platform & Enablement (Data Analytics/Databricks): Building and validating certified consumer-business KPIs, analytical models, dashboards, and web-funnel analyses with an accent on subscription metrics, data reconciliation, and customer lifecycle analysis. Focus on tracing metric anomalies through data layers, designing waterfall and funnel analyses, and delivering executive insights with SQL, Python, and Databricks.
Location: Hybrid in Waterloo or Toronto, Canada; candidates must live within a commutable distance and be available onsite as needed. Work can be performed from a home office when not onsite.
Salary: CAD $122,010–$165,070 per year, depending on experience and qualifications.
Company
develops consumer cybersecurity solutions designed to protect people, families, and communities in an always-online world.
What you will do
- Build and validate certified analytical models for retention, churn, trial conversion, bookings, subscriber counts, and marketing effectiveness.
- Reconcile analytical datasets with finance and operational source systems, investigate discrepancies, and maintain data quality.
- Analyze customer lifecycles, digital journeys, web funnels, acquisition, engagement, purchase, and renewal behavior.
- Create waterfall and funnel analyses, investigate KPI anomalies, and identify drivers of business outcomes.
- Build and maintain Databricks data models, transformation logic, analytical tables, dashboards, and automated reporting pipelines.
- Deliver ad hoc and executive-facing analysis while documenting data lineage and collaborating with Data Engineering, Finance, Marketing, Product, and Data Stewards.
Requirements
- 5+ years of experience in data analytics, business intelligence, or a related quantitative field.
- Deep knowledge of subscription or SaaS metrics, including retention, churn, auto-renewal, trial conversion, LTV, and bookings.
- Strong SQL and Python skills, including hands-on experience with Databricks, PySpark, and Delta Lake.
- Experience with web analytics and tracking tools such as Google Analytics, Adobe Analytics, Adobe Launch, or Google Tag Manager.
- Experience with Power BI, data validation, reconciliation, root cause analysis, and documenting metric definitions.
- Ability to translate ambiguous business questions into structured analysis and manage work in agile two-week sprints.
Culture & Benefits
- Flexible work hours and family-friendly benefits.
- Bonus program.
- Pension and retirement plans.
- Medical, dental, and vision coverage.
- Paid time off and paid parental leave.
- Support for community involvement and an inclusive workplace.
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