IC4 - Sr Business Analyst

Spin; México; On-site; MXN 420,000 - 660,000; Full time

Job summary

Spin in Mexico is seeking a Senior Data Analyst to transform complex data into actionable insights and drive strategic decisions. You will independently lead analyses, mentor junior analysts, and partner with business and technical teams to deliver high-quality, evidence-based recommendations.

The role requires advanced SQL, Python, and experience with BI dashboards (Power BI/Tableau/Looker). You will influence stakeholders and contribute to continuous improvement across the organization.

Qualifications

• 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.
• 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.

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 stakeholders, product managers, and engineering to gather, clarify, and challenge requirements.
• Impact Evaluation: Design and evaluate business impact experiments under a causal inference framework, including A/B testing and quasi-experiments.
• Problem Investigation: Identify analytical opportunities and recommend solutions for operational improvements.
• Requirements Definition: Translate business objectives into detailed analytical requirements.
• Agile Documentation: Document tasks with user stories, acceptance criteria, and specs.
• Solution Delivery: Work with data engineering and governance teams to implement scalable analytics.
• Insight Communication: Deliver narratives translating data into actionable insights for senior stakeholders.
• Continuous Learning: mentor junior analysts and stay updated on new tools and practices.

Skills

SQL proficiency

Python for data analysis

Data storytelling

Experiment design

Stakeholder influence

Mentoring

Tools

Power BI

Tableau

Looker

Job description

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.

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.