Data Lead @ Pomelo | Simplify Jobs

Pomelo’s mission is to increase financial access and empowerment for immigrants and their loved ones back home.

We are proud to be the first financial technology platform to combine consumer credit and global remittances. Our product solves the worst aspects of money transfer by empowering our customers to use credit rather than cash. At the same time, we help immigrants establish their financial future in their new country by building positive credit history with their existing remittance obligations and financially include their loved ones in emerging economies with access to modern financial instruments.

We’re a team of ~45 and are growing our San Francisco headquarters. Our investors include Keith Rabois of Khosla Ventures (formerly of Founders Fund, CEO at Opendoor, former COO of Square), Kevin Hartz (Co-founder/CEO of Xoom and Eventbrite) of A* Capital, The Chainsmokers, The Weeknd, and more.

The Team

Join our dynamic Growth and Data department at the forefront of transforming how financial technology impacts users globally. As part of this team, you’ll be instrumental in leveraging data to drive strategic decisions, enhance customer experiences, and foster a culture of excellence and innovation in analytics.

Your Role

As the Data Lead in our rapidly growing fintech startup, you are pivotal in shaping the analytics framework that scales with our expansion. Your responsibilities will include:

Optimizing and managing our tech stack, including Redshift, dbt, and BI tools, to ensure data accuracy and accessibility.
Developing and implementing comprehensive data models to support and enhance business decision-making.
Working closely with leadership to provide data-driven insights that steer strategic initiatives.
Identifying opportunities for data optimization and leading cross-functional projects to harness data for growth strategies.
Building and promoting a data-driven culture across the organization.

Required Qualifications

At least 4+ years of experience working in Data
Bachelor’s degree in Computer Science, Data Science, or a related field.
Proficiency in SQL and extensive experience with data warehouse technologies like Redshift.
Expertise in data modeling and ETL processes, particularly with DBT.
Experience in implementing and optimizing BI tools such as Tableau, Looker, or similar.
Strong cross-functional communication skills and proven leadership and team-building abilities.

Nice to Haves

Experience in a startup environment, particularly in fintech.
Demonstrated ability to build trust and coach others within a team.

Pomelo takes a market-based approach to compensation, offering equity and a base salary as part of the compensation package. The estimated base salary range for this role is $150,000 - $180,000 per year. Exact compensation may differ from this range and depends on the candidate’s experience, domain expertise, and interview performance.

Benefits and Perks (FTE)

❤️ A meaningful mission and an opportunity for direct societal impact. We’re putting real money back in the hands of the people who need it most and helping immigrants and their families realize the American dream.
👥 An amazing team and culture. You’ll have peers from both top tech companies (e.g. Cash App, Google, Twitter, Uber) and other successful startups (e.g. Affirm, AfterPay, MemSQL). We empower each other to do great work and continue growing.
💪 Opportunity for major impact, learning, and growth.
🏥 Platinum-level health insurance (medical, dental, vision) — with 100% covered by the company for you and 50% for dependents.
🌴 PTO: 3 weeks in your first year, 4 weeks thereafter, plus national holidays
✈️ $1,500 annual travel stipend
😌 $300 annual wellness stipend
🗺 Twice-a-year company retreats. Previous trips include skiing in Park City, getting sun and surf in Cabo, Mexico, and a cruise excursion to The Bahamas.
🍽️ In Office Meals: Lunch, dinner, and snacks provided daily

Compensation Overview

The Team

Your Role

Required Qualifications

Nice to Haves

Benefits and Perks (FTE)

6 month growth

1 year growth

2 year growth