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Data Analyst II, Treasury

Role overview

Qualifications

  • 2+ years professional experience
  • Bachelor's degree (Economics, Accounting, Finance, or similar preferred)
  • Knowledge of SQL is essential
  • Python experience a plus, with the desire to learn a must

Responsibilities

  • Perform finance related recurring operations, such as loan sales to our investors
  • Process automation – initiate, engineer and maintain scripts used to streamline different business functions
  • Read, debug, and modernize existing SQL and Python pipelines
  • Empower Customer Support, Product, and other Finance team members by being a subject matter expert and resource for loan data and finance processes

Key facts

  • Remote from: United States
  • Full time
  • Mid-level (2-5 years)
  • Treasury Operations Analyst
  • English

Hard skills

Other skills

  • Microsoft Excel
  • Detail Oriented
  • Collaboration
  • Analytical Thinking

About the company

Wisetack logo

Wisetack

Buy Now Pay Later (BNPL) & Consumer Credit

Wisetack is the leading Pay Over Time platform for in-person services. Wisetack partners with top SaaS service companies to embed payment options directly into their software through a simple API integration. Service businesses rely on Wisetack to offer their customers flexible, point of sale financing, enabling them to quickly and easily pay over time for essential services. Founded in 2018 in San Francisco by an experienced team of leaders in the financial services industry, Wisetack is backed by investors including Insight Partners, Greylock, and Bain Capital Ventures.

Company details

Company typeScaleup
IndustryBuy Now Pay Later (BNPL) & Consumer Credit
Company size51 - 200

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Job description

Since 2018, Wisetack has been building transparent and intuitive consumer lending products that help service-based businesses thrive (think HVAC companies, veterinarians, or auto repair shops).

Our leadership team comes from top fintech companies such as Lending Club, Affirm, and Varo Money. And we’re backed by leading VCs, including Insight Partners, Greylock, Quadrille, and Bain Capital Ventures (investors in Airbnb, LinkedIn, Instagram, Dropbox, and more).

Having raised $84M, we’re a well-funded startup and have invested in people and technology while growing our partnerships — responsibly.

We’re also proud to have received recognition from the fintech world. Awards we’ve won include:

But what you’ll find us gleaming about the most is the recognition from our own customers, particularly our sky-high NPS rating of 79. (For reference, the average score is 44 for financial services and 36 for SaaS companies.)

As a result of our efforts in building this healthy company culture, we’ve been nominated to several Great Places to Work lists, such as Best Small Workplaces, Best Workplaces in the Bay Area, and Best Workplaces in Financial Services & Insurance.

Like any startup, we’re in it for the long haul, and we’re looking for people willing to join our journey of building something special together.

This process starts with our company values, which guide us in everything we do — and have played a critical role in our success. We valiantly abide by them, and would expect you to do the same:

  • Put customers first (that’s our M.O.)
  • Act fast (leverage our startup environment).
  • Lead the way (show and tell).
  • Take ownership (everyone is hands-on here).
  • Be a good human (no egos, build financial products that do right by people).

Learn more about our values here.

The Role

Wisetack's Treasury team helps power how money moves through our products. We work closely with Product and Data Engineering to ensure accuracy between our merchants, borrowers, and capital partners.

We're looking for a Data Analyst II to run, improve and automate critical money movement workflows. You'll use AI tools, SQL and Python to work with large datasets, streamline recurring processes, and investigate financial discrepancies.

This role is ideal for someone who combines a finance mindset and attention to detail with the technical curiosity to automate scalable, reliable processes.

Responsibilities

  • Perform finance related recurring operations, such as loan sales to our investors
  • Process automation – initiate, engineer and maintain scripts used to streamline different business functions
  • Read, debug, and modernize existing SQL and Python pipelines — not just build new ones — including work inherited from prior analysts
  • Empower Customer Support, Product, and other Finance team members by being a subject matter expert and resource for loan data and finance processes
  • Perform ad hoc data analysis projects and clearly communicate insights to both internal and external business partners
  • Build out validations and financial-governance controls that protect Wisetack against fraud and financial error

Requirements

  • 2+ years professional experience
  • Bachelor's degree (Economics, Accounting, Finance, or similar preferred)
  • Knowledge of SQL is essential
  • Python experience a plus, with the desire to learn a must
  • An automation-oriented mindset and a real aptitude for AI tools — using them to write and debug queries and build reconciliation tooling faster
  • Analytical and inquisitive mindset with a desire to learn
  • Strong Excel knowledge
  • Ability to work independently, with the attention to detail to own high dollar processes
  • Collaborates seamlessly across both technical and non-technical teams

Bonus Points

  • Experience automating processes out of excel and into a SQL or script-based process
  • FinTech experience, such as experience with loan-level, credit, or lending data
The range of base salary for the position is between $70,800 - $99,100 plus equity, andbenefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level and competencies.Spend a little time on our About Us page and check out our Press page and our blog for more. If you think this might be a fit, we’d love to hear from you!  

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Our data practices are described in Wisetack’s Privacy Policy.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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