Data Analyst
Analyzes operational, product, and financial data to identify trends, build dashboards, and support cross-functional teams in optimizing fintech processes like fraud, risk, and rewards. Requires 3-7 years experience with SQL, Python, AI tools, and dashboarding.
About the job
Responsibilities
- Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights
- Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance
- Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies
- Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)
- Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation
- Support forecasting, business reviews, and strategic planning with clear, data-driven analysis
- Contribute to improving data quality, documentation, and analytical rigor across the organization
- For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions
Requirements
- 3–7 years of experience in an analytical, operations, strategy, or data-focused role
- Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
- Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
- Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)
- Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)
- Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems
- Excellent communication skills — able to translate complex analysis into clear insights for technical and non-technical partners
- Track record of collaborating effectively with product, engineering, or operations teams
- Ability to manage multiple priorities, take ownership, and drive projects end-to-end
- Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes
Bonus/Nice to have
- Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
- Familiarity with financial systems, reconciliation workflows, or data integrity challenges
- Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Compensation
- Annual starting salary range of $130,000-$200,000 + equity + benefits
Skills
SQL, Python, Excel, Looker, Tableau, AI Tools, Mode, Omni
Similar jobs
Data Analytics jobs
Current
New York, NY
Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.
OnePay
United States
Own credit and product analytics for consumer liquidity products, shaping underwriting strategy, portfolio risk policies, and new product launches. The role requires 4–8 years of credit analytics experience, advanced SQL, AI capabilities, and strong quantitative problem-solving skills.
Spade
New York, NY
Analyzes transaction enrichment performance, investigates data-quality anomalies, and builds dashboards and monitoring to improve product accuracy and reliability. Requires 3–5 years of analytical experience, strong SQL and Python, and experience with BI and automated alerting.
Discord
United States
Own fraud detection, payments operations, investigations, and risk strategy while leading cross-functional programs and launch assessments. The role requires 4+ years in payments, fraud, or risk operations, strong SQL and card-network expertise, and the ability to communicate decisions across technical and business teams.
Dropbox
United StatesAnalyzes Talent Acquisition and workforce data to identify trends, improve hiring effectiveness, and inform People and business-leader decisions. The role requires 3+ years of HR-focused analytics experience, SQL and advanced Excel proficiency, and strong stakeholder communication.