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Finance Data Analyst
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Remote Financial Analyst for AI & Embedded Finance
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Über
At ClarityPay, we're redefining the point-of-sale credit market to bring more value to merchants. Based in NYC and Atlanta, our fast-growing fintech empowers large merchants with configurable "Pay-Over-Time" tools—including monthly installments, BNPL, and revolving products. We solve complex credit challenges with speed, precision, and intelligence—combining deep expertise with advanced tech to deliver better outcomes, every time. Our clients rely on us to help them serve their customers, grow, and build loyalty. Our values guide everything we do: we put merchants first, stay data-driven, always know the why, learn relentlessly, and win together as a team. This clarity of purpose fuels our commitment to delivering exceptional customer experiences at speed and scale. Position Overview
We are looking for a Finance Data Analyst to serve as the data engine for our finance team. You will work closely with the Product, Risk, and Finance teams to write and run SQL queries, build datasets, and surface insights that drive financial reporting, portfolio analysis, and business decisions. This is a highly cross-functional role—you sit at the intersection of data, credit, and finance, and your work will directly inform how we manage and grow the business. Key Responsibilities
Data Extraction & Analysis Write, optimize, and maintain complex SQL queries to extract and analyze data across loan originations, portfolio performance, payment activity, 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 the credit, product, and finance teams Financial & Portfolio Reporting Support the finance team with data pulls for monthly reporting, investor updates, and board materials Analyze portfolio-level metrics including origination volumes, delinquency rates, loss rates, prepayment speeds, and cohort performance Build and maintain dashboards in BI tools (Looker, Tableau, or similar) to give stakeholders real-time visibility into key metrics Product & Risk Collaboration Partner with the Risk team to pull and analyze credit performance data, underwriting outcomes, and loss trends Work with the Product team to instrument new features, track performance metrics, and assess the financial impact of product decisions Translate raw data into clear, actionable insights for non-technical stakeholders Data Infrastructure Use Python to automate recurring data pulls, reporting workflows, and manual finance processes to improve efficiency and reduce operational overhead Partner with engineering to understand data models, ensure data quality, and flag anomalies Help build and document a scalable data foundation for the finance function Qualifications
Bachelor's degree in Finance, Economics, Statistics, Computer Science, or a related field 2–4 years of experience in a data analyst, financial analyst, or similar role Strong SQL skills—comfortable writing complex queries, joins, window functions, and aggregations Proficiency in Python for data analysis and process automation (pandas, numpy) Experience with BI tools such as Looker, Tableau, or Power BI Familiarity with consumer lending, fintech, or financial services data is a strong plus Ability to work cross-functionally and communicate data findings clearly to finance, risk, and product stakeholders Detail-oriented, intellectually curious, and comfortable working in a fast-paced startup environment What We Offer
Competitive compensation and equity package Comprehensive benefits (medical, dental, vision) Collaborative office culture with a strong product mindset Opportunities to grow, lead, and shape the future of consumer finance 401k program We are an equal opportunity employer and value diversity at our company.
Sprachkenntnisse
- English
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