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 Data Analytics Engineer Sr at Stori, you will leverage your analytical and technical expertise to support our accounting and regulatory reporting functions. Your role will be critical in ensuring data accuracy, compliance, and the generation of reports and reconciliations processes. On any given day, you will be challenged on three types of work – Innovation, Business Intelligence, and Data Management:
Innovation
- Develop and enhance data-driven solutions for accounting processes, including the automation of reconciliations and regulatory reporting to improve accuracy and efficiency.
- 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 the ability to explore and quickly grasp new technologies to progress varied initiatives.
Business Intelligence
- Collaborate closely with teams to launch new products or features, ensuring they are aligned with accounting, regulatory and compliance reporting objectives.
- 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 their 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.
Requirements
- 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.
- Advanced skills in SQL and Python for data manipulation and analysis.
- 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.
- Deep understanding of credit product operations (credit cards, loans, asset financing, etc.).
- Understanding of financial regulations and accounting principles, especially within the fintech industry.
- Experience with regulatory and compliance reporting in a financial services context.
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
