Data Analytics Engineer Senior

Stori Card

Stori Card

Data Science
Mexico City, Mexico
Posted on Wednesday, May 15, 2024

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 Sr Analytics Engineer at Stori you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management:


  • Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms.
  • Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers.
  • Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives.

Business Intelligence

  • Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
  • Drive analysis that provides meaningful insights on business strategies.

Data Management

  • Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
  • Work with business teams to understand the business needs and translate them into technical requirements.
  • Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance.
  • Build and execute tools to monitor and report on data quality.


  • A bachelor's degree or foreign equivalent in Engineering, Science, Operations Research, Information Technology, Statistics, Mathematics, Economics, Finance, Analytics, or a related quantitative analytical field.
  • SQL and Python.
  • Proven interpersonal, collaboration, diplomatic, influencing, planning, and organizational skills.
  • Consistently demonstrate clear and concise written and verbal communication.
  • Proven ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Demonstrated ability to work under pressure and to meet tight deadlines with proactive, decisiveness, and flexibility.
  • English Fluent/proficient.
  • 2 or more years of experience in quantitative and qualitative analysis using SQL or Python.
  • 2 or more years of working experience in data analytics or data management
  • 2 or more years of experience in the finance industry

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