1 день назад
Senior Data Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Snowflake/dbt/Hex): Turning data from Growth, Operations, Product, and Finance into trustworthy decisions while building reusable reporting infrastructure with an accent on advanced SQL, production data modeling, and stakeholder-focused analysis. Focus on investigating metric anomalies, validating data quality, documenting analytical assets, and using AI tools with rigorous output verification.
Location: Anywhere in South America; fully remote
Company
uses data to support affordable housing and business decisions across Growth, Operations, Product, and Finance.
What you will do
- Write, optimize, and maintain complex SQL queries in Snowflake.
- Build tested, documented, and reusable dbt models.
- Create trusted dashboards, apps, and reports in Hex.
- Partner with stakeholders to define metrics and scope analytical work.
- Investigate metric anomalies, identify root causes, and communicate recommendations.
- Maintain analytical documentation, validate data quality, use AI tools responsibly, and mentor analysts.
Requirements
- 5+ years of experience in data analytics or a closely related field.
- Advanced SQL skills, including window functions, CTEs, query optimization, and large datasets.
- Hands-on Snowflake experience as a primary data warehouse.
- Production experience building and maintaining dbt models, tests, and documentation.
- Experience with Hex or a similar notebook-based analytics platform.
- Strong end-to-end ownership, communication, analytical judgment, and familiarity with AI tools in analytics.
Culture & Benefits
- Fully remote work from South America.
- Equity incentive plan and company-wide bonus opportunity.
- National medical, dental, and vision healthcare plans.
- Life insurance, optional accident insurance, FSA, and DCFSA benefits.
- Unlimited paid time off, 11 company-observed holidays, and 12 weeks of paid parental leave.
- 401(k) plan.
Hiring process
- PeopleOps application review followed by a 30-minute video interview.
- Potential 45-minute interview with the Head of Business Intelligence and an SQL assessment through Coderbyte.
- Potential 1.5-hour stakeholder panel interview followed by an offer.
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