4 дня назад
Senior Commercial Data Analyst (SaaS)
155 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Commercial Data Analyst (SaaS): Building trusted commercial data models and Power BI dashboards for Finance, Marketing/Retention, and Product with an accent on advanced SQL, dbt transformations, Snowflake optimization, and financial KPI modeling. Focus on translating executive requirements into curated datasets, improving ARR and retention models, and validating CI/CD data changes across production environments.
Location: California, United States; ideally the Santa Clara area with a hybrid schedule requiring 2 days per week in the office.
Salary: $155,000–$175,000 annually in the San Francisco Bay Area; $137,000–$165,000 annually in Region 2; $130,000–$160,000 annually in Region 3.
Company
develops cybersecurity software designed to protect people and devices from malware and evolving digital threats.
What you will do
- Translate business and executive requirements into curated financial and operational datasets.
- Build and maintain Power BI dashboards for company-wide use.
- Map business metrics across eCommerce vendors and internal engineering data sources.
- Update revenue system configurations for product launches and bundle changes.
- Run pre-production versus production data comparisons within CI/CD workflows and investigate process failures.
- Partner with Retention/Marketing, Product, and Finance while managing multiple projects.
Requirements
- Advanced SQL, including window functions, plus Power BI and basic DAX.
- Understanding of financial KPIs and experience working cross-functionally across multiple projects.
- Experience with dbt Core, including materializations, incremental loads, and Jinja macros.
- Familiarity with Snowflake and tuning data models to optimize execution plans and warehouse usage.
- Proficiency with Git-based processes and CI/CD workflows, including pull requests against CI and pre-production schemas.
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or a related field, plus 4–6+ years of experience in analytics engineering, data analysis, or FP&A.
Nice to have
- Experience in a SaaS or consumer technology environment.
Culture & Benefits
- Medical, dental, and vision insurance coverage.
- 401(k) with employer matching for US employees.
- Comprehensive time-off policy.
- Wellness programs.
- Employee referral bonus program.
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