M1 - Analytics Chapter Lead

Spin is FEMSA’s business unit that enriches and simplifies people's lives. It is an ecosystem of financial and digital solutions that creates added value by helping our users and communities make the most of their time and money. The Spin ecosystem consists of simple, agile, and accessible solutions that help our customers address everyday needs and receive rewards for doing so; such as the digital wallet, Spin by OXXO, the loyalty program, Spin Premia, and Spin Negocios, which offers various solutions for businesses, including NetPay and OXXO PAY.

Objective of the Role We are seeking a Business Analytics Chapter Lead focused on enabling high-impact, data-driven practices across our B2B and transversal domains. This is a key first-level management role responsible for ensuring technical excellence, alignment with business priorities, and scalable solutions in an environment that spans partnerships, merchant networks, and company-wide initiatives. Your mission is to empower squads with analysts that are technically solid, business-savvy, and well-supported. You'll work closely with Tribe Leads, Product Managers, and cross-functional stakeholders to ensure that analytics efforts in B2B and transversal initiatives are strategic, consistent, and grounded in best practices. You’ll report directly to the Head of the Analytics Chapter, collaborating closely with other Chapter Leads to build a thriving analytics community.

• Main Responsibilities

  • Team Leadership & Management: Lead and mentor a team of business analysts embedded in B2B and transversal squads, promoting technical excellence, continuous learning, and impactful delivery.
  • Transversal Alignment: Guarantee that analytical efforts across shared capabilities (e.g. payments, fraud, acquisition, lifecycle, experimentation) follow consistent practices, leveraging common tools, frameworks, and metrics.
  • B2B Business Intelligence: Oversee analytical initiatives related to business clients, merchant networks, partnerships, and operational scaling, identifying insights that optimize commercial strategy and partner experience.
  • Practice Development: Co-own the definition and implementation of analytical best practices in experimentation, KPI design, query optimization, and documentation, ensuring consistent application across squads.
  • Strategic Support: Serve as an analytical thought partner for Tribe Leads and PMs, ensuring analysts are equipped to influence decision-making with high-quality data and storytelling.
  • Impact Monitoring: Ensure the development and maintenance of dashboards, analyses, and reporting solutions that reflect business priorities and enable proactive performance tracking.
  • Cross-Chapter Collaboration: Actively contribute to the Analytics Chapter initiatives (standards, rituals, tools, onboarding, etc.) and foster collaboration with other vertical leads (B2C, People, Performance).
  • Talent Development: Conduct regular 1:1s, performance reviews, and individual development planning, identifying growth opportunities and ensuring high engagement among team members.

   

• Required Knowledge and Experience:

  • Experience: Minimum 7 years in Business Analytics or Data roles, preferably in fintech, commercial operations, or B2B environments. Experience working with partner-facing or transversal initiatives is a strong plus.
  • Leadership: Demonstrated experience leading analysts or data teams in a matrixed or cross-functional environment.
  • Technical Skills: Advanced proficiency in SQL and analytical tools such as Python (Pandas, NumPy), R, or similar. Strong understanding of data warehousing concepts and analytics architecture.
  • Visualization: Solid experience with BI tools like Looker, Power BI, or Tableau to build decision-ready dashboards and monitoring solutions.
  • B2B Knowledge (Desirable): Understanding of merchant/partner lifecycle, onboarding, operational KPIs, and B2B product analytics.
  • Transversal Thinking: Ability to see patterns and opportunities across domains and translate them into shared solutions or reusable assets.
  • Soft Skills: Strong communication, business acumen, stakeholder management, and a collaborative mindset.
  • Education: Bachelor's degree in a quantitative field (Engineering, Economics, Mathematics, etc.). Master’s degree is a plus.

Spin está comprometida con un lugar de trabajo diverso e inclusivo. 
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida. 
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