spin · México
Skills: Python, SQL
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,…
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