Data Analyst, Macro Analytics

About Stripe

Stripe is a platform offering financial infrastructure to businesses globally. It serves millions of companies ranging from large enterprises to startups, enabling them to accept payments, boost revenue, and seize new opportunities. Our mission is to expand the internet's overall economy, presenting a unique chance to contribute to impactful work that shapes global commerce.

About the Team

The Data Science community at Stripe includes data analysts, scientists, and engineers collaborating to learn and innovate. In this role, you will engage with critical company data and play a key part in advancing data-driven initiatives. Various data analytics groups exist, and placements are aligned based on your background.

Primary Role and Responsibilities

• Collaborate with Treasury Finance, Finance & Strategy, Risk teams, and Engineering to design analytics frameworks and observability to assess Stripe's financial condition.
• Analyze macroeconomic indicators and create analytical models supporting financial planning and strategic decision-making.
• Build targeted observability and performance analytics suitable for standard and event-driven contexts to provide senior leadership with crucial insights related to market fluctuations.
• Leverage Stripe’s extensive data resources to evaluate financial outcomes and establish scalable data infrastructures addressing current and emerging analytic needs.
• Handle heterogeneous and unstructured datasets to derive meaningful insights and actionable advice.
• Work jointly with data scientists and engineers to construct data pipelines, modeling tools, and infrastructure aligned with business objectives.
• Maintain ongoing reporting activities, stakeholder communications, and respond to information requests within Treasury Finance and Finance & Strategy.

Candidate Profile

Applicants must meet minimum qualifications and are encouraged to apply; preferred qualifications are considered advantageous but not mandatory.

Minimum Qualifications

• Residing in New York or willingness to relocate as the position offers a hybrid working arrangement.
• Between 3 to 6 years' experience in data research and analysis, risk modeling, business intelligence, or data engineering, including building data pipelines and working with large datasets to solve complex problems.
• Strong command of SQL and Python programming languages.
• Robust understanding of statistics combined with sound business acumen.
• Exceptional communication skills to effectively convey results and drive business impact.
• Experience in analytics within FinTech, banking, investment, corporate finance, treasury, or financial services sectors.
• Expertise in data visualization and the ability to transform insights into actionable business recommendations.
• Proven ability to manage multiple projects simultaneously with meticulous attention to detail.
• Collaborative teamwork approach across functions to define analytic challenges and implement solutions with technical thoroughness.
• Familiarity with AI tools to expedite model creation, analytical tasks, and coding processes.

Preferred Qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or related technical disciplines.
• Experience working within growth-stage internet companies or FinTech organizations.
• Background in macro analytics, corporate finance, financial planning, or portfolio management.
• Knowledge of financial and accounting datasets, time-series analyses, macroeconomic research, or economic indicator construction.
• Experience with distributed data technologies such as Hadoop and Spark for data pipeline development and debugging.
• Understanding of software development best practices including engineering standards, code review, and testing procedures.

Workplace and Compensation

Employees assigned to an office location are expected to spend at least half their work time onsite monthly, though this may vary by role and location. Certain teams may require higher on-site presence to support workflows effectively, as determined by the manager.

The annual base salary for this US-based position ranges from $134,000 to $201,000, varying according to role level, experience, and location. Other benefits might include equity options, bonuses, 401(k) plans, comprehensive health coverage, and wellness stipends.