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Stripe

Data Analyst, Finance Systems

Posted 2 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Provide data analytics support for GTM and Finance teams, conducting analyses, building visualizations, and coordinating cross-functional projects to drive operational efficiency and financial growth.
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Who we areAbout Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Finance System (FinSys) Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy, GTM, Accounting, Finance Operations, Treasury, Tax, Product Experience, and Composing Deals. We are the Financial Enablement team under FinSys, acting as the centralized data analytics team for the Org, enabling and empowering teams to achieve business goals, through data analytics support, dashboards, tooling automation and operational efficiency enhancements.

What you’ll doResponsibilities 

This role is mainly designed to provide data analytics support for the GTM (go-to-market), F&S (Finance & Strategy) team, and internal FinSys Engineering team.

Your responsibilities include:

  • Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs 
  • Deeply understand product accounting for each Stripe product to support GTM
  • Work closely with cross-functional teams, including Accounting, User billing, Seller system teams, and Sales Ops, to align on financial goals and drive revenue growth
  • Reconcile internal revenue metrics across complex finance systems.
  • Coordinate cross-functional projects to identify and drive operational efficiencies that support our stakeholders ability to run more efficiently and effectively
  • Work closely with Engineering teams to help define product solutions 
  • Conduct internal knowledge sharing sessions to strengthen team  
Who you are

You’re passionate about solving business problems and making a direct impact on stakeholders. You are comfortable with dealing with many moving pieces, learning new technologies and systems, and you are excited about managing projects across multiple functions. This role gives you opportunities to work with data analysts, engineers, and business stakeholders directly in the US and India. 

We're looking for someone who is self driven, has strong data analytics skills and great communication skills. 

Minimum requirements
  • Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) 
  •  7+ years of prior working experience in data analysis fields
  • Strong analytical ability, proficiency with SQL (minimum of 4 years advanced SQL) and strong understanding of data relationships
  • Experience working with extremely large datasets
  • Outstanding communication skills
  • Expertise working cross-functionally to drive business and operational goals 
  • Excellent project management skills and ability to hold others accountable for results
  • Ability to connect the big picture to minute details
  • Operating as part of a team adhering to established norms and values
  • Ability to identify opportunities to improve the data management processes
  • Domain knowledge in Finance/FinTech/Accounting/GTM 
Preferred qualifications
  • Master’s degree in STEM major
  • Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
  • Experience working with GTM, Finance Team, PM, and Engineers
  • Experience in creating dashboards to visualize system performance and KPI generation, with an understanding of metrics that clearly explain the data.
  • Experience working with teams in disparate time zones (i.e. US teams)

Top Skills

SQL

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