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Data Analyst, Financial Enablement

ExperiencedNo visa sponsorship
Stripe logo

at Stripe

FinTech

Posted 11 days ago

No clicks

**Data Analyst, Financial Enablement:** Enable cross-functional teams with data-driven insights. Key responsibilities include performing data analysis, working with complex datasets, collaborating with finance, product, and ops teams, and driving operational efficiencies. Proficient in advanced SQL, with a minimum of 4 years' experience in data analysis and strong SQL/SAS skills. Contribute to business growth and process improvement using AI tools.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the worlds 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 Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements.

What youll do

Responsibilities

  • Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders business needs
  • Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
  • Be the data strategy partner for our business stakeholders
  • Reconcile complex dataset 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 and Product teams to help define product solutions
  • Leverage AI tools to improve team work efficiency
  • Conduct internal knowledge sharing sessions to strengthen team

Who you are

Youre passionate about solving business problems and making a direct impact on business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g. AI). Were seeking someone with excellent communication and advanced SQL/analytics abilities. Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job.

Minimum requirements

  • Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields
  • Strong analytical ability, proficiency with SQL (minimum of 3 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
  • Domain knowledge in Finance/Accounting/GTM

Preferred qualifications

  • Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
  • Experience working with PM, Engineers, GTM, Accounting Team or Finance Team
  • Experience working with financial datasets
  • Experience with visualization tools
  • Experience with AI tools (Claude Code, Kai, etc.)
  • Domain knowledge in FinTech Products
  • Qualification in Accounting/Finance or CPA/CFA certification

Data Analyst, Financial Enablement

Compensation

Not specified

City: Not specified

Country: Not specified

Stripe logo
FinTech

11 days ago

No clicks

at Stripe

ExperiencedNo visa sponsorship

**Data Analyst, Financial Enablement:** Enable cross-functional teams with data-driven insights. Key responsibilities include performing data analysis, working with complex datasets, collaborating with finance, product, and ops teams, and driving operational efficiencies. Proficient in advanced SQL, with a minimum of 4 years' experience in data analysis and strong SQL/SAS skills. Contribute to business growth and process improvement using AI tools.

Full Job Description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the worlds 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 Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements.

What youll do

Responsibilities

  • Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders business needs
  • Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth
  • Be the data strategy partner for our business stakeholders
  • Reconcile complex dataset 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 and Product teams to help define product solutions
  • Leverage AI tools to improve team work efficiency
  • Conduct internal knowledge sharing sessions to strengthen team

Who you are

Youre passionate about solving business problems and making a direct impact on business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g. AI). Were seeking someone with excellent communication and advanced SQL/analytics abilities. Strong background in Accounting/Finance or prior AI experience is highly preferred, though these can also be developed on the job.

Minimum requirements

  • Bachelor's degree in STEM major (i.e. Computer Science, Math, Stat, Engineering, etc.) and 4+ years of prior working experience in data analysis fields
  • Strong analytical ability, proficiency with SQL (minimum of 3 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
  • Domain knowledge in Finance/Accounting/GTM

Preferred qualifications

  • Experience working in fast-paced environments (e.g. high-growth fintech/tech company, management consulting)
  • Experience working with PM, Engineers, GTM, Accounting Team or Finance Team
  • Experience working with financial datasets
  • Experience with visualization tools
  • Experience with AI tools (Claude Code, Kai, etc.)
  • Domain knowledge in FinTech Products
  • Qualification in Accounting/Finance or CPA/CFA certification