At MassMutual Ventures, we are fortunate to have been early and long-term partners to our portfolio of category-defining businesses that are located across the globe. Learn more about their available opportunities below.
Y Combinator
As an early member of Slope’s team, you help drive business insights for Slope’s growing customer base and diverse profile. You will support analytics to gain insights on how we can improve our product and better serve our customers. This role requires strong data analytics skills, critical thinking, and problem-solving.
Why work with us?
You’ll get the chance to be an early team member at a fast-growth YC startup. We truly believe it’s all about slope — not where you start but how fast we are growing and iterating
We are growing insanely fast and are well-funded. This is a once-in-a-lifetime opportunity to join our rocketship at an inflection point!
We’re a tight-knit, intense team, where you'll learn a ton and have ownership
We have raised capital from some of the best VCs (Y Combinator, Union Square Ventures) and angels (Sam Altman and founders of Doordash, Dropbox, Plaid, Opendoor, Unity) in the world
Work with seasoned second-time founders
Help transition the massive B2B economy online and help small business owners thrive
What you'll do
You will collect and mine business data, conducting analyses to generate insights that guide business planning and decision making for the leaders of the organization
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Generate target lists for sales team based on both publicly available data on the web, paid data sources and proprietary data
Translate business questions into actionable data-driven insights, clearly communicating technical concepts and business implications to varied audiences
Develop scalable analytics processes that can provide timely support of decisions and opportunities across the company
Create and maintain dashboards and reports of key business metrics
Maintain documentations of internal datasets; work with Data Scientists and Data Engineers to improve data quality
Requirements
2+ years experience in data analytics or data science
Bachelor’s in Quantitative Finance, Statistics, Economics, Mathematics or related fields
Strong skill set with Python (pandas, numpy, requests, etc), SQL (Postgres and Snowflake), Excel and data visualization (Matplotlib, Plotly etc); experience with building statistical models is a plus; web scrapping and hacker mindset is a plus
Experience with consumer / small business lending and B2B payments is a strong plus
Excellent written and verbal communication skills
Attention to detail, strong work ethic, and a relentless drive; enjoy a fast-paced and results-driven culture
Excel and enjoy a collaborative and in-person workplace
Comfortable with handling ambiguity and creating processes from scratch. We are growing fast and still learning
A demonstrated ability to get stuff done. In an ideal world, you’ve worked in a fast-growing company and know what we should be doing today, in one year, and in two years
Self-directed and able to work with minimal supervision
Iterative mindset