Data Scientist Analytics, Finance (Remote)

Brex (View all Jobs)

United States

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


Interview Process

1. Practical questions - 1 hour technical 2. Then 4-5 hour onsite. System design, Coding, values, debugging

Programming Languages Mentioned

R, Python, SQL


Why join us

Brex is reimagining financial systems so every growing company can realize their full potential. As the financial OS, we’re building software and services in one place—disrupting long-entrenched institutions with products and experiences that better serve the ambitions of our customers.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.

Data at Brex

The Data organization develops infrastructure, statistical models, and products using financial data. Our Scientists and Engineers work together to make data—and insights derived from data—a core asset across the company. Our work is ingrained in Brex’s decision-making process, in the efficiency of our operations, in our risk management policies, and in the second-to-none experience we provide our consumers. 

What you’ll do

The Data Science, Analytics team builds out strategic initiatives to optimize profitability across the business, as well as improve efficiency and build out automation that touch nearly all the functions at Brex. Specifically the data scientist here will focus on providing financial decision support analysis to the leadership team at Brex.

Responsibilities

  • Clean, manipulate and analyze large, complex data sets, spanning a wide variety of sources. 
  • Research and recommend actionable solutions to nebulous business problems based on often unclean data.
  • Generate and maintain reports and dashboards for internal and external consumers.
  • Alongside business stakeholders, reconcile crucial data integrity issues.
  • Communicate analysis results with effective storytelling.
  • Inform our other data science and data engineering teams of broader business needs.
  • Support the creation of financial metrics data architecture and governance, including reconciliation, gap analysis
  • Support Leadership Team level  business decisions with complex data analysis and modeling
  • Develop and deliver regular and ad-hoc business performance reporting including cost basis, profitability, financial statements
  • Work collaboratively across product owners, finance, and other functional teams within Brex

Requirements

  • Strong communication skills and have worked with different business functions and stakeholders outside of analytics.
  • Professional experience in a quantitative or financial analysis role
  • Understanding of FP&A reporting and forecasting as it relates to revenue and sales growth: customer retention, lifetime value and other financial metrics
  • Ability to define the appropriate metric framework to empower data-driven decision making process
  • Experience influencing corporate finance, FP&A or sales finance team by providing accurate insights
  • Fluent in SQL and experience with statistical packages, such as R or Python

 

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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