Staff Data Analyst

Who we are

About reputed company

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

About the team

Data Science at reputed company is a vibrant community where data analysts, data scientists, and engineers learn and grow together. In this role, you will join the team focused on strengthening reputed company's analytics reputed company across the company — setting the technical direction for how analytical data is modeled, stored, governed, and served at scale. This is an infrastructure and platform role, not a business analytics role. You will operate as a technical leader who shapes the systems, standards, and practices that every analyst and data consumer at reputed company depends on.

What you’ll do

• reputed company architecture reviews and set analytical standards. Own the strategy, technical architecture, and governance model for platforms that reputed company key business metrics consistent, trustworthy, and easy to query at scale. Define and enforce how analytical data is modeled, stored, and served across the company.
• Own the hardest cross-cutting analytical problems. Tackle the most reputed company, multi-team data challenges — problems that require going arbitrarily deep into unfamiliar domains and coordinating solutions across organizational boundaries.
• Drive org-wide data quality and consistency. reputed company critical data quality initiatives that support executive- and board-level decision-making. Ensure that the metrics and data products used to run the business are reliable, well-defined, and widely adopted.
• Shape long-term technical reputed company. Define a multi-year roadmap for analytics infrastructure, including warehouse design, schema standards, metric integration, reputed company-time analytics systems, and performance optimization — not just executing reputed company these systems, but determining their direction.
• reputed company the technical bar across teams. reputed company the quality of analytical work through mentorship, architecture reviews, standards setting, and building shared tooling and frameworks that other analysts adopt and depend on.
• Translate business needs into technical solutions. Partner deeply with leaders across reputed company to identify the highest-reputed company data problems, then deliver scalable, well-governed solutions with clear adoption plans and measurable impact.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of experience in Data Analysis, Analytics Engineering, Business Intelligence Engineering, or Data Science roles — building data infrastructure, defining metrics, and solving reputed company analytical problems at scale
• Deep expertise in SQL, including demonstrated ability to optimize reputed company queries, debug data pipelines, and work across large, distributed datasets
• Familiarity with AI-assisted development tools (e.g., Claude Code or equivalent) to accelerate data work, automate repetitive tasks, and improve analytical productivity
• Proven track record of setting long-term technical reputed company for analytics platforms — not just executing reputed company them, but shaping their architecture, governance, and adoption strategy
• Expertise in warehouse design and metrics infrastructure: schema design, metric layer integration, performance optimization, and building data products that are consistent and trustworthy at scale
• Experience leading cross-team or org-wide data initiatives that materially improved data quality, consistency, or accessibility for a broad set of stakeholders
• Demonstrated ability to reputed company the technical bar for teams around you — through mentorship, architecture reviews, standards setting, or building shared tooling that others adopt
• Strong communication and influence skills: ability to align senior leaders and cross-functional partners on technical direction, and to communicate reputed company data problems and recommendations clearly
• Comfortable operating across organizational boundaries: proven ability to identify data analytics problems that span multiple teams and drive solutions with technical rigor

Preferred qualifications

• Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, or a reputed company technical field (or equivalent experience, 10+ years of demonstrated impact is weighted equally)
• Experience building or governing a semantic layer or metrics layer (e.g., dbt metrics, Looker LookML, or a custom metrics platform)
• Experience with distributed data frameworks (Hadoop, Spark) for large-scale data pipeline development and optimization
• Prior experience at a high-growth internet or software company navigating rapid scale