Finance Data Analyst

Finance Data Analyst

This job is no longer open
Company Overview

At Wisetack, we’re building financially-responsible consumer lending products that help service-based businesses thrive.

Founded in 2018 by a team of experienced fintech veterans whose prior experience includes PayPal, LinkedIn, Lending Club, Affirm, Amazon, and other leading companies, Wisetack is a well-funded early stage startup with strong early customer traction. We’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures, investors in Airbnb, LinkedIn, Instagram, Dropbox, and many more.

We raised a $45M Series B last year and since then, we've invested in our people and technology and signed a slew of new partnerships. This is a fun stage in any company's lifecycle where we've got the core foundation built, a healthy growth rate, and a clear path to success, but you'd still be joining early enough to help shape the future of the company.

Business Insider recently named us one of the 70 most promising startups changing the world of finance and LendIt just named us as the winner in the Best Emerging Lending Platform category for their Fintech Industry Awards. The external recognition is great, but we're equally -- if not more -- happy with the recognition from our customers. Our current NPS rating is a sky-high 78. We're proud that we're building a product that customers love.

Wisetack is developing a cutting-edge Finance & Treasury team to engineer a new type of treasury function through automation (scaling the business) and data insights (shaping the business).
 
We are seeking a Finance Data Analyst who will be an integral part in scaling the business through automation, data integrity efforts and data projects for key business stakeholders.  This opportunity will be responsible for partnering with much of the organization to plan, build and expand processes related to treasury and other finance related functions.  A successful candidate will find joy in automating workflows, engineering ETL processes, working with large datasets and converting data into insights.  Our team is critical to conducting Wisetack’s financial operations.

Job responsibilities

    • Perform finance related daily operations for loan originations and secondary transactions with bank partners and loan investors
    • Process automation – initiate, engineer and maintain tools and dashboards used to streamline different business functions and analyses
    • Work cross-functionally with every part of the business to transform business initiatives and problems into scalable and viable solutions
    • Empower Customer Support, Product, Partnerships and other Finance team members by being a subject matter expert and resource for loan data and ETL processes
    • Perform ad hoc data analysis projects and clearly communicate insights to both internal and external business partners
    • Identify, document and administer changes to enhance controls and mitigate risk
    • Develop and implement data integrity frameworks and monitor these strategies for both internal and external data sources

Candidate requirements

    • 2+ years professional experience (role will be calibrated to experience)
    • Analytical and inquisitive mindset with a desire to learn
    • Knowledge of SQL is essential
    • A solutions-oriented mindset
    • A passion for data and automation
    • Strong Excel knowledge and aptitude, including macros
    • Strong work ethic, enjoy getting involved in the details and adapt well in a fast-paced and changing environment
    • Strong verbal and written communication skills
    • Ability to work independently
    • Avid team player who delights in helping others and collaborates seamlessly across both technical and non-technical teams
    • Python experience a plus with the desire to learn a must
    • Flexibility - willingness to occasionally stretch beyond what is outlined above, plugging into other areas of the business when help is needed
Wisetack is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from the Wisetack office in SF, and may occasionally travel to the Wisetack office or elsewhere for required meetings or team-building events.

Spend a little time on our About Us page researching our team and our values, and check out our Press page and our blog for more background on what we do. If you think this might be a fit, we’d love to hear from you!
This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.