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.
Join our vibrant Growth and Data department, where we’re reimagining how financial technology can make a positive impact on users around the world. As a key member of this team, you’ll help harness the power of data to drive smart decisions, enhance customer experiences, and nurture a culture of innovation and excellence in analytics.
As the Data Lead in our fast-growing fintech startup, you’ll play a crucial role in building an analytics framework that grows with us. Here’s what you’ll be doing:
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Tech Stack Optimization: You’ll manage and optimize our tech stack, including Redshift, dbt, and BI tools, to keep our data accurate and accessible.
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Data Modeling: Develop and implement data models that support our business goals and help us make informed decisions.
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Strategic Insights: Collaborate closely with leadership to provide insights that guide our strategic initiatives.
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Cross-Functional Projects: Identify opportunities to optimize our data and lead projects that use data to drive our growth.
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Data-Driven Culture: Help build and promote a culture where data-driven decision-making is at the heart of what we do.
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Experience: You should have at least 4 years of experience working with data.
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Education: A bachelor’s degree in Computer Science, Data Science, or a related field.
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Technical Skills: Proficiency in SQL and extensive experience with data warehouse technologies like Redshift.
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Data Expertise: Strong skills in data modeling and ETL processes, particularly with DBT.
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BI Tools: Experience with BI tools like Tableau, Looker, or similar.
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Communication and Leadership: Excellent cross-functional communication skills, along with proven leadership and team-building abilities.
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Startup Experience: Experience in a startup environment, especially in fintech.
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Team Building: A track record of building trust and coaching others within a team.
