6 дней назад
Staff Business Data Analyst (Fintech)
169 500 - 229 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Business Data Analyst (Fintech): Building scalable data models, reporting, and analytics capabilities for software development productivity, operational excellence, and cloud FinOps initiatives with an accent on data integrity, financial systems, and self-service analytics. Focus on translating business needs into technical requirements, modernizing data consumption, and guiding analytics standards across finance, engineering, and planning.
Location: Mountain View, California or San Diego, California, United States
Base pay range: $169,500–$229,000 in Mountain View or $151,000–$204,000 in San Diego, plus potential bonus, equity, and benefits.
Company
is a financial technology platform whose products include TurboTax, Credit Karma, QuickBooks, and Mailchimp.
What you will do
- Own end-to-end analytics across operational excellence, development productivity, and cloud FinOps initiatives.
- Translate business strategy and reporting needs into actionable data requirements and communicate technical trade-offs to stakeholders.
- Partner with engineering to modernize the structure, access, and consumption of financial and operational data.
- Define data integrity standards and protect business continuity during system transformations.
- Move teams from manual reporting to scalable, self-service, and forward-looking analytics.
- Guide solution design and delivery standards, mentor analysts, and advise leadership on downstream analytics impacts.
Requirements
- BA/BS in Business, Finance, Data Analytics, Computer Science, or a related field, or equivalent practical experience.
- 10+ years of experience in data analytics, business intelligence, or related data-focused roles.
- Experience translating business needs into technical requirements and serving as a liaison between business and engineering teams.
- Experience with financial systems, cloud FinOps, planning and analytics applications, and finance data models.
- Strong SQL skills and experience working with large, complex datasets across multiple systems.
- Experience mentoring analysts, managing trade-offs, and operating independently in an evolving environment.
Nice to have
- Experience with cloud data warehouses and BI tools.
- Familiarity with chart of accounts structures.
- Experience transitioning teams to self-service or scalable analytics solutions.
Culture & Benefits
- Competitive compensation with a pay-for-performance approach.
- Potential cash bonus and equity rewards.
- Benefits provided under applicable company plans and programs.
- Collaboration across finance, engineering, and planning teams.
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