Analyze data models to build critical reports, support sales teams with performance insights, and ensure accurate data management and visualization.
About Butter Payments
At Butter Payments, we’re on a mission to eliminate involuntary churn and make recurring payments seamless. Every year, billions of dollars are lost due to failed payments. Butter leverages machine learning, deep financial data partnerships, and behavioral insights to ensure the right payments go through at the right time—without friction. We're backed by world-class investors like Atomic & Norwest Venture Partners, and we're growing fast.
The Problem Statement:
You will work closely with Revenue/Sales and Account Management to estimate customer value, support pricing discussions, and explain performance lift of our ML models. Our customers rely on us to help them recapture lost revenue and drive insights into their payments data. How can we measure that, predict and estimate what we will give, and alert when something is wrong?
Problem Expanded:
We work on a performance based system, and you will be the source for our sales teams, driving lift estimates, and determining how the system is impacted by changes. You will help drive customer value forecasts, identify opportunities for improved performance and identify risks to our performance. You will prepare data visualizations to communicate with non-technical audiences, and present your findings to customers and sales teams. You'll ensure we have clean and accurate data for both reporting and modeling purposes. You will contribute to managing our data tables to ensure our teams can retrieve the data they rely on.
Scope:
You will analyze models , build business critical reports to power the product and our business, and drive data products to help stakeholders understand and estimate our value.
Philosophies:
- You strongly believe that action creates information
- You want to work on a small team and have lots of responsibility
- You look forward to being scrappy and enjoy overcoming challenges
Requirements:
- 3+ years of experience delivering value through data at an early stage, high growth startup
- Prior experience working with SQL (Intermediate level and up)
- Prior experience with Statistical Analysis (Intermediate and up)
- Prior experience with Data Visualization (Intermediate and up)
- Prior experience with Data Modelling (Intermediate and up)
- Familiarity with Python
- Bachelors, Masters, or Ph.D in an Analytical field
- Experience using generative AI to improve the quality and efficiency of your work is interesting.
- Strong communication, writing and storytelling skills; experience with presentations (Google slides/Powerpoint)
- Payments experience is a nice to have
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply.
--------
Butter Payments is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Butter considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Please review our CCPA policies here.
Top Skills
Data Modelling
Data Visualization
Google Slides
PowerPoint
Python
SQL
Statistical Analysis
Similar Jobs
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
As a Senior Staff Product Designer, you will lead complex design initiatives, collaborate cross-functionally, define user experiences, and mentor other designers.
Top Skills:
FigmaPrototyping Tools
Fintech • HR Tech
Lead product strategy for Gusto's Core Experiences Platform, focusing on data models and UX to support complex company needs while collaborating with cross-functional teams to drive product adoption.
Top Skills:
APIsData ModelingProduct Management ToolsUx Design
Big Data • Information Technology • Software • Analytics • Energy
As an Application Support Analyst, you'll provide front-line support, troubleshoot software issues, maintain records, and educate customers on application usage.
Top Skills:
Excel
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal