Data Science Global Distribution Analyst
About the job
- Technical training, preferably in Engineering, Computer Science, Telecommunications, Mathematics, Physics, or another quantitative discipline.
- Initial academic or professional experience in data analysis, programming, or developing analytical solutions.
- Knowledge of Python and SQL.
- A high level of English is required.
- Analytical ability and attention to detail.
- Support the development of data-based solutions to professionalize commercial distribution and logistics, collaborating with teams to align with area objectives.
- Prepare, document, and process data, and participate in developing Python/PySpark solutions following technical and systems-department guidelines.
- Support the Data Science team in developing analyses and solutions.
- Participate in developing and maintaining predictive demand models, including supporting their validation and integration into corporate systems.
- Create and update user interfaces and dashboards using tools such as Python, Streamlit, or Looker.
- Monitor, simulate, and document model impact, and track business-area KPIs.
- Help ensure data quality and consistency throughout the analytical lifecycle according to team practices.
- Support data projects and initiatives by analyzing and executing tasks prioritized by senior staff.
- Collaborate with business and systems departments to understand needs and support implementation of data solutions.
- Follow the team's established methodologies, tools, and processes for project delivery.
- Prepare analyses, progress updates, and results documentation to share with the team and support decision-making.
- Knowledge of data visualization tools such as Looker, Power BI, or Streamlit.
- Experience or interest in logistics, supply chain, or retail.
About the company
Mango provides a white-label payment platform in Latin America that lets merchants accept and process payments while keeping their own brand. Its core products are API-driven payment solutions that integrate into merchants’ systems, enabling features like chargeback reduction, enhanced customer credibility, and independent promotions management. The platform operates mainly on transaction fees and API subscription revenues. Mango differentiates itself by offering a brand-preserving, API-first payment stack tailored to Latin American businesses and by supporting merchants with tools to manage branding and promotions under their own name rather than under Mango’s brand. The company aims to simplify payments for a wide range of clients—from small businesses to large enterprises—while contributing a portion of profits to environmental conservation efforts, specifically protecting the missionary jungle and wildlife.
Company Size
1-10
Company Stage
Seed
Total Funding
$150K
Headquarters
Argentina
Founded
2013
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Simplify's Take
What believers are saying
- Mango reported 762% growth and over $16 million in transactions by July 2026.
- The company already works with 230-plus construction companies and distributors across Mexico.
- July 2026 funding supports four new products and a 44% headcount increase.
What critics are saying
- Mango serves a fragmented construction niche; distributor or contractor defaults quickly break underwriting models.
- Competition from BBVA, CEMEX-backed platforms, and bank-led supply-chain finance compresses margins by 2027.
- If Mexico construction slows, Mango's transaction data moat weakens and growth stalls.
What makes MANGO unique
- Mango underwrites Mexico construction payments with transaction-level credit data, not generic lending.
- Brick & Mortar Ventures led Mango's July 2026 round, signaling specialized construction-tech validation.
- BBVA Spark credit facility gives Mango institutional capital access many Latin American fintechs lack.
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Benefits
- Health Insurance
- Childcare Support
- Training Programs
- Mentorship Program
- Professional Development Budget
- Employee Discounts