Aftersales Business Intelligence Analyst

1 Day ago • 5 Years + • Data Analyst

About the job

Summary

The Aftersales Business Intelligence Analyst at Nissan Mexicana develops reports and visualizations (primarily using Tableau) to support various client groups. Responsibilities include translating end-user requirements into technical solutions, providing business insights and recommendations using internal/external data, developing and maintaining advanced reporting dashboards (SQL, Python, Informatica Prep, Snowflake, Tableau, SAP Business Objects), conducting user testing and iterative development, gathering requirements to improve systems, documenting processes, performing data analysis and validation, and managing multiple projects effectively. The role requires proficiency in data visualization tools (Tableau), SQL/Python, and strong analytical skills. Automotive parts experience is a plus.
Must have:
  • Tableau proficiency
  • SQL/Python expertise
  • Data visualization skills
  • Advanced analytics
  • Data modeling
  • ETL experience
Good to have:
  • Power BI
  • Web development
  • Automotive parts experience
  • Marketing/Purchasing experience
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The mission of Aftersales Business Intelligence Analyst is to develop various reports and visualizations in Tableau in an effort to support specified client groups within the business function.

Job Responsibilities 
1.     Create and design technical solutions to meet business needs by translating end user’s requirements and develop innovative and creative visualizations and tools. Must be capable of strategizing and brainstorming with the team to create a viable solution.
2.     Provide insights to the business and drive key learnings and recommendations using available internal and external data
3.     Assist in development, maintenance and management of advanced reporting, analytics dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, Tableau and SAP Business Objects.  Extracts, validates, and analyzes desired data using aforementioned data extraction tools.
4.     Conduct end user tests and develop database queries to analyze analytics and reporting deliverables. Capable of participating in the ongoing iterative development process of the team’s projects.
5.     Participate in gathering requirements to improve existing systems from teams within the business to streamline workflow and processes.
6.     Document processes and terms in an electronic data glossary. 
7.     Perform and document data analysis, data validation and data mapping/design by accessing/leveraging multiple data sources in order to achieve end user deliverables.
8.     Ability to balance multiple tasks simultaneously and transition between projects while working both independently and effectively in teams.
9.     As necessary, performs other related duties of which the above are representative.

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

Experience:

  • 5+ years of directly related professional-level experience required. Business, Aftersales, Purchasing, or Marketing experience is preferred. Technical automotive parts experience beneficial.

  • Experienced in development of Performance Scorecard/KPI related dashboards related to data-driven business analysis. 

  • Experience in designing effective data models, trend forecasts, and data analytics visualizations. 

  • Proficiency in Snow SQL / Python required. 

  • Relational database modeling fundamentals required. Ability to create an analyze complex business calculations in order to synthesize data insights. Experienced with ETL Self-Service Applications desired. Web Development is a plus. 

  • Proficiency with data visualization tools such as Tableau required. 

Language: Advanced English

ETL and data visualization Skills: Tableau, Power Bi, Python, SQL and Snowflake.

Job Knowledge and Skills:

  • Advanced analytical skills.  

  • Advanced ETL capabilities using SQL, Snow SQL and/or Python to data mine Aftersales business insights and create data pipelines to support business use-case execution.

  • Intermediate to advanced data visualization development skills (i.e. Tableau, Power BI, etc…).

  • Excellent written and oral communication skills.

Specific Course/Certifications: 

  • Intermediate knowledge of data-related end-user desktop applications (e.g. Microsoft Access, Excel, Word and PowerPoint).  

  • Proficient with Tableau, Snowflake and other visualization/big data environment applications to resolve complex problems in day to day situations.  

  • Technical and/or programming experience preferred.

By applying for the advertised position, candidates acknowledge that Nissan Mexicana and its subsidiaries reserve the right to conduct a public conduct search due to the sensitive nature of the assets and information involved in the role. This includes, but is not limited to, proprietary information, financial data, and other assets requiring safeguarding. Nissan Mexicana and its subsidiaries assure confidentiality and compliance with all legal requirements regarding the use of such information.  By applying for this position, you are consenting to this check.

Nissan (NMEX, NRFS, NRFM y ANZEN) realiza contrataciones con base al cumplimiento del perfil de puesto en la vacante, sin distinción, ni discriminación por género, identidad y/o expresión de género, orientación sexual, raza, color, idioma, religión, opinión política o de cualquier otra índole, origen nacional o social, posición económica, nacimiento o cualquier otra condición.

Nissan (NMEX, NRFS, NRFM and ANZEN) hires based on the fulfillment of the job profile in the vacancy, without distinction or discrimination based on gender, gender identity and/or expression, sexual orientation, race, color, language, religion, political or any other opinion, national or social origin, economic position, birth or any other condition.

Mexico City Mexico
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