About Stori
Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington Virginia, Mexico City, and Asia. We have quickly made our mark as one of the top digital banks in Mexico with more than two million applicants for our credit card product since launching.
Stori is one of the top-funded startups in the region with US$250 million raised to date. We are backed by top global venture capital funds, such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Mexico’s Tresalia Capital, Vision Plus Capital, BAI Capital and Source Code Capital; who have successfully invested in startups such as Affirm, Airbnb, Alibaba, Stripe, and TikTok.
Stori has a standout founder team among fintechs, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC in the U.S., Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.
We welcome diversity of background, experience and thinking. Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.
The Role:
As a Principal Data Analytics Engineer at Stori, you will leverage your analytics and engineering skills and cutting-edge big data technology to innovate, design, build, and maintain well-managed data products to solve complex business problems. This role will lead the development of high-quality, monitored, and documented data products that will enable advanced analytics used for the decision-making of several business analysts and business leaders.
Main responsibilities:
- I led and mentored a squad of junior and senior data Analytics Engineers responsible for designing, developing, and maintaining data products to unlock business analytics capabilities.
- Interact with business analysts and other stakeholders to gather new data on product requirements, break them down into concrete deliverables, estimate development efforts, and prioritize other initiatives based on their impact.
- Track the progress of planned initiatives, identifying, solving, and communicating risks and blockers that could impact delivery due dates.
- Identify, estimate, and prioritize technical initiatives that help improve the maintainability, stability, and quality of the data products.
- Develop critical features and implement engineering best practices throughout the data product lifecycle to improve the deliverables' quality.
- Interact with other technical teams, such as Data Infrastructure, Data Governance, DevOps, and Security, to adhere to their solutions and policies regarding the data products and suggest improvements.
- Hire and retain new talent in the team.
What we are looking for:
- Bachelor's degree in Computer Science, Software Engineering, or equivalent work experience
- 5+ years of experience working as a Data Analytics Engineer or Data Engineer building highly scalable data products
- Proven experience using SQL and Python
- Experience with data processing technologies (i.e., DBT, Spark, Pandas), orchestration solutions (ie, Airflow, Prefect), and reporting tools (i.e., Quicksight, Looker)
- Experience working with Cloud Providers, ideally AWS.
- Experience leading small teams (1 to 3 people) of Data Engineers and/or Data Analytics Engineers
- Strong planning and organizational skills
- Advanced written and spoken communication skills in English
- Experience in the financial sector is desirable but not required
What we offer
- Make a positive impact on the lives of our customers via financial inclusion
- Professional development opportunities
- International exposure & work experience
- Company swag
- Legally required benefits
