Finance Data Analyst at ClarityPay - ScoutJobs - The AI-curated global job board
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Posted 4 hours ago

Finance Data Analyst

ClarityPayFinance Data Analyst

Perks & benefits

Medical InsuranceHealth InsuranceCommission

Requirements

Bachelor's degree in Finance, Economics, Statistics, or CS, 2–4 years of data or financial analysis experience, Strong SQL skills, Proficiency in Python (pandas, numpy), Experience with BI tools (Looker, Tableau, or Power BI)

Skills

SQLPythonTableau

About the role

About the Company

ClarityPay is a fast-growing fintech redefining the point-of-sale credit market. Based in NYC and Atlanta, we empower large merchants with configurable "Pay-Over-Time" tools, including monthly installments and BNPL products. Having recently closed our Series A, we are scaling our operations and building the financial infrastructure to support our next phase of growth.

Responsibilities

  • Write, optimize, and maintain complex SQL queries to extract and analyze data across loan originations, portfolio performance, and merchant transactions
  • Build and maintain clean, reliable datasets and data pipelines to support recurring finance and risk reporting
  • Perform ad hoc analyses to answer business questions across credit, product, and finance teams
  • Support monthly reporting, investor updates, and board materials with data pulls
  • Analyze portfolio-level metrics including origination volumes, delinquency rates, and cohort performance
  • Build and maintain dashboards in BI tools to provide real-time visibility into key metrics
  • Partner with Risk and Product teams to analyze credit performance and track new feature impact
  • Use Python to automate recurring data pulls and reporting workflows
  • Partner with engineering to ensure data quality and flag anomalies

Requirements

  • Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field
  • 2–4 years of experience in a data analyst or financial analyst role
  • Strong SQL skills including complex queries, joins, and window functions
  • Proficiency in Python for data analysis (pandas, numpy)
  • Experience with BI tools such as Looker, Tableau, or Power BI
  • Ability to communicate data findings clearly to non-technical stakeholders

Preferred Qualifications

  • Familiarity with consumer lending, fintech, or financial services data

Benefits

  • Competitive compensation and equity package
  • Comprehensive benefits (medical, dental, vision)
  • 401k program
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Finance Data Analyst

ClarityPay · Atlanta

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