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Swipesum

Financial Data Analyst (Data Science-Focused Role)

Swipesum, Saint Louis, Missouri, United States, 63146

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Location:

St. Louis, Missouri (Office), 4220 Duncan St., STE 201, Saint Louis, MO 63110

Team:

Data & Analytics

Job Type:

Full-Time In Office

About Swipesum

Swipesum is a high-growth fintech consulting and technology company headquartered in St. Louis, Missouri.

Recognized as one of the

Top 100 Most Disruptive Fintech Companies in the World , Swipesum serves as the Chief Payments Officer‑as‑a‑Service for businesses…

We help clients navigate the complexities of payment processing, uncover hidden costs, and build modern financial infrastructure…

About the Role

We’re looking for a Financial Data Analyst with a strong data science toolkit and 2–4 years of professional experience…

You’ll collaborate across consulting, engineering, operations, and customer success…

This position is ideal for an analytical professional ready to take the next step…

Key Responsibilities Data Analysis & Financial Auditing

Analyze and interpret complex merchant processing statements from processors like Elavon, Stripe, Worldpay, and Fiserv

Identify interchange downgrades, surcharges, and inefficiencies across multi-year datasets

Build detailed financial models and reports to quantify savings opportunities and guide pricing decisions

Perform forensic audits and data reconciliation for clients spanning public companies to SMBs

Data Science & Automation

Use tools like SQL, Python, and Excel to clean, structure, and analyze large datasets

Develop repeatable data pipelines and automation scripts to streamline statement ingestion and reporting

Partner with engineers to enhance Staitment’s AI‑driven audit capabilities and data intelligence features

Reporting & Visualization

Create dashboards and visual reports (Tableau, Looker, or Power BI) to communicate trends in transaction volume, fees, and savings

Deliver custom client dashboards tracking KPIs such as approval rates, chargebacks, and interchange fees

Present complex financial data in clear, actionable formats for executive stakeholders

Consulting & Strategic Insights

Serve as the data expert on client projects, joining calls to explain findings and support consultants with insights

Build scenario models (“what‑if” pricing, volume shifts, or processor migrations) to support decision‑making

Provide data‑backed recommendations on optimizing payment structures and reducing costs

Operational Finance & Reconciliation

Audit partner payouts and residuals, ensuring accurate revenue recognition and partner payments

Reconcile financial data across systems and identify discrepancies or missed opportunities

What You’ll Bring Experience

2–4 years

in a

data analyst ,

data scientist , or

financial analyst

role with real‑world, professional experience

Proven record of analyzing complex financial or transactional data and delivering measurable outcomes

Background in fintech, SaaS, payments, or consulting (preferred)

Technical Skills

Strong proficiency in Excel / Google Sheets (advanced formulas, pivot tables, modeling)

Experience with SQL (required) and Python (preferred)

Familiarity with BI tools (Tableau, Looker, Power BI)

Comfort with data transformation from unstructured sources (PDF statements, CRM exports, API data)

Understanding of payment processing models, interchange fees, and network assessments

Core Traits

Analytical mindset with business intuition, able to connect data to strategy

Strong attention to detail and a passion for accuracy and process improvement

Excellent communication and data storytelling skills for client and internal presentations

Self‑starter who thrives in fast‑paced, project‑based work and enjoys solving new challenges

Referrals increase your chances of interviewing at Swipesum by 2x

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