senior finance Financial Analyst management
$178,900 – $245,950
USD per year

About this role

Databricks is hiring a senior-level Financial Analyst in the finance function based in Bellevue, WA | Denver, CO | Mountain View, CA | San Francisco, CA | Seattle, WA. The posting calls out experience with Python, SQL, Spark, Databricks. Compensation is listed at $178,900–$245,950 per year.

Role
Financial Analyst
Function
finance
Level
senior
Track
Management
Employment
Full-time
Location
Bellevue, WA | Denver, CO | Mountain View, CA | San Francisco, CA | Seattle, WA
Department
Finance

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Job description

from Databricks careers

GAQ426R237

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Overview:

Databricks is seeking a Senior Manager, Finance PMO, Strategy & Operations, FP&A, to directly support the SVP of FP&A and the FP&A organization more broadly. This is a high-impact role responsible for driving organization, transformation, innovation, and operational efficiency at scale, as well as managing key programs across global Finance teams within the CFO organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects.

You will partner with teams across the Finance organization, including various FP&A teams (Corporate, GTM, Product, etc.) and partners within the broader CFO org. In addition, you will collaborate with cross-functional teams, including IT, People, Engineering, Product, Go-to-Market, and Pricing. You will own project and program management, including OKR setting, process optimization, transformation roadmaps, and organizational management and communications on behalf of the FP&A team. Your focus will be on leveraging strategic thinking and operational rigor to reduce organizational friction, standardize practices, and drive technology and AI adoption to enable scalable automation and predictive insights.

This is an excerpt. Read the full job description on Databricks careers →
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