Data Analyst

Aviso de fuente externaen TSSI Recruit US

Data Analyst role with recurring and ad hoc analysis, business insights, cost analysis, and pricing discrepancy identification.

Fuente externa - sin verificarhace 6 semanasVigente hasta: 5 dic 2026

Salario

No especificado

Ubicación

Mexico City, México

Tipo de empleo

Tiempo completo

Modalidad

No especificado

Data Analyst

Mexico City, México

Descripción del empleo

About the role

TSSI Recruit US is seeking a Data Analyst to use a passion for big data and analytics to provide business insights across a range of topics.

Responsibilities

  • Conduct recurring and ad hoc analysis for business users.
  • Use data to tell a story and connect analysis to business outcomes, including revenue impact, cost savings, process optimization, pricing improvements, or product performance insights.
  • Perform cost analysis and identify pricing discrepancies.
  • Build templates, standardize taxonomies, automate workflows, or improve data quality frameworks with a process and scalability mindset.

Requirements

  • Data analytics and modelling skills, problem-solving ability, and strong attention to detail.
  • Experience with large datasets, data pipelines, or transformation work; experience beyond reporting and dashboards.
  • Proficiency in at least two of SQL, Python, and advanced Excel, including Power Query or VBA.
  • Fluency in English.
  • SQL, Python, advanced Excel, data modeling, automation, experience with AI, or experience working with product, catalog, or vendor data is a plus.

Datos clave

  • Conduct recurring and ad hoc analysis for business users.
  • Must have at least two of SQL, Python, and advanced Excel.
  • Fluency in English is required.

Preguntas frecuentes

  • What does the role involve?

    The role provides business insights through recurring and ad hoc analysis for business users.

  • What skills are required?

    Candidates must have at least two of SQL, Python, and advanced Excel. The listing also asks for data analytics and modelling skills, problem-solving ability, and fluency in English.

  • What experience is a plus?

    Experience with data modeling, automation, AI, or product, catalog, or vendor data is a plus.

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