Data Analyst, Treasury
Wisetackalmost 2 years ago
United States
On-site
Full-time
Junior Level (1-3 years)
Job Description
Position Overview
Wisetack is seeking a Data Analyst who has strong business acumen with technical aptitude. In this role, you will work with large datasets, design and build processes, perform analyses to drive business decisions, develop controls, and mitigate risk. The Finance team plays an essential role in providing top management with the visibility it needs to make decisions and understand the company's performance.
Key Responsibilities
- Run finance-related daily operations: Validation of loan originations, Secondary market transactions, Build automation tasks
- Strategically design, thoughtfully build and efficiently maintain new solutions to business initiatives in a scalable way
- Embrace and enhance the data-driven culture of the company by providing new and useful data solutions via different mediums (dashboards, automated reports, automated Slack messages, etc.)
- Empower Customer Support, Product, Partnerships and other Finance team members by being a subject matter expert and resource for Treasury related items
- Work cross-functionally with Finance, Analytics, Risk, Product, Engineering and Customer Operations
- Develop and maintain Treasury specific datasets and data pipelines
- Support the business by handling a variety of ad hoc requests
- Drive adoption of new processes and standard methodologies
- Identify, document and implement changes to enhance controls and mitigate risk
Required Qualifications
- Bachelor's degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
- 2+ years of professional experience as a data analyst or in a role as a data user
- 1+ years of professional experience with SQL
- 1+ years of professional experience with Python
- Excellent communication skills, with the ability to simplify and explain complex problems to stakeholders of all levels across multiple functions
- Keen attention to detail
- Self-directed and self-motivated with an ability to work independently and handle ambiguity is essential
- Customer service mindset and an avid team player who delights in helping others
Preferred Qualifications
- Working knowledge of lending concepts and related processes (i.e. accrued interest)
- Systems implementation experience a plus
- Experience in venture-backed or similar high-growth environments preferred
Compensation
The range of base salary for the position is between $83,300 - $116,600, plus equity, and benefits. 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.
Required Skills
Teamwork
Communication Skills
Data Analysis
Attention to Detail
Problem-Solving
SQL
Python