Retention Specialist

Nissan Motor Corporation; Ciudad de México; Presencial; MXN 641,000 - 916,000; Jornada completa

Descripción de la vacante

A leading automotive company in Mexico City is seeking a skilled Data Analyst to drive insights using advanced analytics and reporting solutions. The ideal candidate has over 5 years of experience in Automotive Aftersales Service Retention, proficiency in SQL and Python, and strong analytical skills. Responsibilities include developing data pipelines and documenting processes to enhance business operations. This position offers a dynamic work environment with opportunities for professional growth.

Formación

• 5+ years of directly related professional-level experience required.
• Automotive Aftersales Service Retention drivers knowledge required.
• Excellent written and oral communication skills.

Responsabilidades

• Provide insights to the business using data.
• Assist in development of reporting and analytics solutions.
• Document processes and terms in an electronic data glossary.

Conocimientos

Advanced analytical skills

Automotive Aftersales Service Retention knowledge

SQL proficiency

Python proficiency

Snowflake knowledge

Educación

Bachelor's degree in Information Technology/Computer Science

Master's degree

Herramientas

Informatica Prep

SAP Business Objects

AWS

Microsoft Access

Excel

Descripción del empleo

Mexico City

Responsibilities

• Provide insights to the business and drive key learnings and recommendations using available internal and external data specifically around Service Retention and related KPI’s.
• Assist in development, maintenance and management of advanced reporting, analytics, dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, and SAP Business Objects. Extracts, validates, and analyzes desired data using extraction tools.
• Understand and utilize tools to store data effectively within the data mart or data lake solutions, online analytical processing, as well as maintaining data analytics platforms so that data can effectively be mined for information by the end user body.
• Conduct end user tests and develop database queries to analyze the effects and troubleshoot any issues that arise. Capable of participating in the ongoing iterative development process of the team’s projects.
• Participate in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
• Document processes and terms in an electronic data glossary.
• Perform and document data analysis, data validation, data mapping/design by accessing multiple sources, specifically data residing in source systems.
• Ability to balance multiple tasks simultaneously and transition between projects while working both independently and effectively in teams.
• As necessary, performs other related duties of which the above are representative.

Qualifications

• Advanced analytical skills required.
• Automotive Aftersales Service Retention and Service Retention drivers or related knowledge required. Understanding of US Market and dealer Service operations required.
• Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business insights and create data pipelines to support business use‑case execution.
• Knowledge of NNA Systems highly preferred.
• Excellent written and oral communication skills.

Experience

• 5+ years of directly related professional‑level experience required. Aftersales & Service Marketing analytics experience is required.
• Experienced in development of Performance Scorecard/KPI related dashboards related to Automotive Service Retention analysis.
• Experience in designing effective data models, trend forecasts, and visualizations of analytics related to Automotive Service Retention.
• Proficiency in SQL / Python required. Relational database modeling fundamentals required. Experienced with ETL Self‑Service Applications desired. Web Development is a plus.
• Technical automotive parts experience beneficial.

Education: Bachelor’s degree in Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology. Master’s degree preferred.

Certifications and Skills

• Intermediate knowledge of data‑related end‑ desktop applications (e.g. Microsoft Access, Excel, Word and PowerPoint).
• Proficient with mainframe applications to resolve complex problems in day‑to‑day situations.
• Technical and/or programming experience preferred.

Travel required: If needed.