Senior Data Analyst

ABOUT EXTEND

Extend offers businesses powerful spend controls and expense workflows that drive efficiency, improve security and visibility, and better manage company spending. Our primary product is a spend and expense management platform that allows SMBs to create on-demand virtual cards, automate reconciliation, and manage employee expense reports. We have built the first virtual card platform of its kind, directly integrated with processors, networks, and the technology that supports banking across the industry.

We offer several virtual card products including an app-as-a-service that banks can offer business customers with their existing credit cards, a suite of virtual card APIs for those looking to build custom payment solutions, and we also offer secure connectivity to key banking and payment services that enable 3rd-parties to integrate and embed payments into their software.

VC-funded Extend is headquartered in Manhattan and has recently raised $20m in capital from top fintech investors. With 60 passionate team members and exciting momentum – after launching a new subscription offering over Summer ’25, there’s never been a better time to join our team!

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The Senior Data Analyst is a high-impact individual contributor. The ideal candidate combines strong business acumen, analytical rigor, and exceptional communication skills to transform complex data into actionable business insights. This role owns core business analytics while applying advanced methods to evaluate trends, validate hypotheses, and guide strategic decisions.

As a strategic analytics partner, this individual will help leaders identify opportunities, evaluate business performance, measure the impact of key initiatives, and guide decisions through thoughtful analysis. Beyond reporting what happened, they will uncover why it happened, assess confidence in the findings, and recommend practical actions that drive business outcomes.

This role is ideal for someone who enjoys solving business problems, influencing decision‑making, and serving as a trusted advisor across Product, Business Development, Operations, Finance, and Executive Leadership.

• Define, maintain, and continuously improve dashboards and reporting for revenue, SaaS performance, customer growth, and product adoption.
• Establish clear metric definitions and governance to ensure consistency and integrity across teams.
• Serve as the trusted source of truth for core business KPIs.

• Translate complex data into clear narratives and recommendations for leadership.
• Apply statistical methods to evaluate trends, cohort performance, and business experiments.
• Assess sample size, variance, and statistical significance when interpreting business outcomes.
• Distinguish signal from noise and clearly communicate confidence levels in findings.
• Design and evaluate A/B tests and other controlled experiments in partnership with Product and BD.
• Provide structured guidance on when data is sufficient to inform decisions, and when it is not.

• Conduct advanced analyses to identify drivers of customer retention, churn, product adoption, revenue growth, and business performance.
• Support forecasting and scenario planning initiatives.
• Identify leading indicators, emerging trends, and potential business risks.
• Experience with predictive modeling is a plus but not required.

• Leverage AI tools to accelerate analysis, enhance modeling workflows, and surface deeper insights.
• Experiment with AI-assisted anomaly detection, forecasting support, and exploratory data analysis.
• Identify opportunities to automate recurring analytical tasks using scripting or AI-enabled tools.
• Promote responsible and secure use of AI in analytics.

• Monitor data integrity and investigate anomalies.
• Partner with Engineering to improve data pipelines and resolve discrepancies.
• Contribute to building scalable, durable analytics infrastructure.

• 5+ years of experience in analytics,…