IC4 - Sr Data Analyst

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 IC4 – Sr Data Analyst Reports to: Analytics Chapter Leader, Head Analytics Chapter Role Objective The Senior Data Analyst plays a critical role in transforming complex data into actionable insights that shape strategic decisions and drive continuous improvement across the organization. As a senior contributor, you will independently lead analytical initiatives, mentor less experienced analysts, and act as a trusted partner to business and technical teams. This role requires a combination of advanced analytical expertise, business acumen, and the ability to influence decisions through clear, evidence-based recommendations. You will proactively identify opportunities, design robust analytical approaches, and ensure the delivery of high-quality solutions that enhance both performance and customer experience. Key Responsibilities Analytical Leadership: Independently design and execute complex analyses to address high-impact business questions, using advanced statistical methods and experimentation frameworks. Collaboration: Partner with business stakeholders, product managers, and engineering teams to gather, clarify, and challenge requirements, ensuring alignment with strategic goals. Impact Evaluation: Define, design, and evaluate business impact experiments under a causal inference framework, including block randomized, pair randomized, and factorial designs, A/B testing, treatment-control and interventionist evaluations, observational studies, and the determination and isolation of measurable and non-measurable confounders, as well as quasi-experiments. Problem Investigation: Identify analytical opportunities and recommend solutions that drive operational improvements and inform strategic decisions. Requirements Definition: Translate business objectives into detailed analytical requirements, ensuring clarity and alignment across functions. Agile Documentation: Oversee the documentation of tasks under agile methodologies, including user stories, acceptance criteria, and technical specifications. Solution Delivery: Collaborate with data engineering, governance, and self-service teams to implement solutions that meet enterprise standards and support scalable analytics. Insight Communication: Deliver compelling narratives that translate complex data into actionable insights, influencing senior stakeholders and driving decision-making. Continuous Learning: Actively mentor junior analysts and stay current on new tools, techniques, and industry best practices to strengthen team capabilities. Required Knowledge and Experience: 4–6 years of experience in business analysis, data analytics, or similar roles. Advanced proficiency in SQL and experience working with complex data structures. Solid understanding of cloud-based data architectures and ingestion processes. Solid experience designing and evaluating experiment-like initiatives under a causal inference framework, including block randomized, pair randomized, and factorial designs, A/B testing, treatment-control and interventionist evaluations, observational studies, and the determination and isolation of measurable and non-measurable confounders, as well as quasi-experiments. Proficiency in Python for data analysis, visualization, and experimentation workflows. Experience designing and delivering BI dashboards and reports with tools such as Power BI, Tableau, or Looker. Desirable: experience with query performance optimization and scalable data solutions. Proven ability to proactively identify business challenges and independently develop analytical approaches to address them. Strong analytical thinking, problem-solving skills, and ability to translate findings into clear recommendations for a senior audience. Demonstrated experience mentoring or guiding less experienced analysts. Must: Proven exposure in credit risk analytics and monitoring tools of personal loans / credit cards in acquisitions and / or expected loss and / or collections context. Solid understanding of credit lifecycle of personal loans / credit cards Familiarity with credit rules, acquisition funnel, payments and collections processes. Solid understanding of CNBV-Banxico-Basilea regulatory requirements. Strong assessment abilities to validate credit data quality, identify deviations and guarantee data consistency at a granular and aggregated level. 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. Si desea solicitar una adaptación, notifique a su Reclutador.

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