IC4 - Sr Business Analyst

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. En Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo. Creemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente protegida.