Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Auth0) (Data Analytics/Auth0): Building scalable semantic data models, executive dashboards, and product insights for Sales, TAM, and Customer Success with an accent on data lifecycle ownership, measurement strategy, and privacy governance. Focus on translating business requirements into technical documentation, developing reusable models, and enabling secure self-service analytics across the enterprise.
Location: Hybrid in Toronto, Ontario, Canada
Annual base salary: CAD 99,000–136,400. Equity, bonus, health, dental and vision insurance, RRSP matching, healthcare spending, telemedicine, and paid leave may also apply.
Company
Okta provides secure identity infrastructure, while Auth0 delivers authentication and authorization for applications and more than 100 million daily logins worldwide.
What you will do
- Partner with Sales, TAM, Customer Success, Product, Engineering, and Program Management to define scalable measurement strategies.
- Build reusable semantic data models covering concepts such as entitlement, activation, utilization, and engagement.
- Develop executive dashboards, product insights, and composite measures across Auth0 and the wider enterprise.
- Educate stakeholders on available data objects and models to support product, revenue, sales, and business analysis.
- Own data lifecycle activities from instrumentation and prototyping through implementation and self-service enablement.
- Maintain data privacy and governance throughout the data lifecycle.
Requirements
- 5+ years of experience in analytics, data engineering, analytics engineering, or product management.
- 5+ years of hands-on experience with data visualization tools such as Tableau, Looker, Streamlit, Power BI, Sigma, or Omni.
- 5+ years of SQL experience.
- Strong understanding of data lifecycle management, including instrumentation, governance, modeling, and self-service interfaces.
- Experience working in Jira and Agile environments and translating stakeholder needs into technical documentation.
- Strong business acumen and emotional intelligence; a bachelor's degree or equivalent relevant experience is preferred.
Nice to have
- Experience with Snowflake, BigQuery, Databricks, or other cloud data warehouses.
- Data engineering experience with Python, dbt, Kafka, Parquet, or DuckDB.
- Experience with Git and pull request workflows.
- Experience with LLM-based data analysis tools or advanced data coding.
- Experience with paywall, subscription, or authentication-based products.
Culture & Benefits
- Hybrid work environment with an immersive in-person onboarding experience.
- Health, dental, and vision insurance, RRSP matching, healthcare spending, and telemedicine.
- Paid leave, including PTO and parental leave, according to applicable plans and policies.
- Opportunities for talent development, social impact, and connection across a global community.
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