General Information

Job Title
Data Analyst, Pricing
Job ID
102704
Work Areas
Analytics, Data & Research
Employment Type
Permanent Full-Time
Location(s)
Mexico City

Description & Requirements

** Please submit your CV/resume in English to ensure your application is considered. **

 

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
 
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.


WHO YOU’LL WORK WITH 


This full-time hybrid role is based in the Pricing Center of Expertise (CoE) within our Bain Capability Network. The Pricing CoE works closely with Bain case teams globally to provide specialized support in data analysis, pricing strategies, and marketing analytics. The team leverages advanced tools and techniques to deliver actionable insights, ensuring Bain’s clients achieve their goals effectively.

  

WHERE YOU’LL FIT WITHIN THE TEAM 


As an Analyst:

  • You will bring analytical expertise to the team’s output by deploying various tools and techniques to generate actionable insights across pricing and marketing analytics engagements
  • You will work under the guidance of a Pricing CoE Project Leader or Manager on a day-to-day basis, contributing to both client delivery and pricing-related IP/tools
  • You will support the team through efficient data analysis, dashboarding, and slide creation, playing a key role in driving overall project output
  • You will typically be staffed 100% on a specific client or IP project at a time

  

WHAT YOU’LL DO


Core Responsibilities and Duties:

  • Take responsibility for assigned work streams, effectively understanding the workplan and identifying and applying the relevant analytical tools
    1. Ensure zero-defect analysis in your own work and ensure key questions are answered in a timely manner; proactively flag potential risks or issues to avoid delays
    2. Perform sound reality checks on analyses and recommend actionable solutions
    3. Brainstorm with the Project Leader/Associate on various aspects of project or IP work, including data cleaning, exploratory analysis, and solution development
  • Help in driving conversations through analytics, including but not limited to:
    1. Supporting dashboard creation
    2. Conducting structured data analysis
    3. Contributing to story-lining of deliverables to prove/disprove hypotheses
    4. Preparing clear, structured, and professional presentations for BCN teams, Bain case teams, and subject matter experts
  • Consistently seek and provide meaningful and actionable feedback

 

ABOUT YOU


Required:

  • Willing and able to work in a hybrid set-up with 4 days per week on-site (Santa Fe initially; Polanco long term)
  • Bachelor’s degree with 1–2 years of hands-on experience in data analytics, data operations, or consulting, ideally with exposure to pricing or marketing analytics
  • Strong technical, analytical, communication, and collaboration skills
  • Strong command of written and spoken English (C1–C2 proficiency), with the ability to communicate effectively across global teams
  • Strong skills in Microsoft Excel and PowerPoint
  • Exposure to or hands-on experience with data manipulation and visualization tools such as Power BI, Python, SQL, etc.
  • Solid understanding of fundamental data analytics techniques and the ability to structure and interpret data-driven insights
  • Demonstrated ability and enthusiasm for learning new tools and technologies


Nice to Have:

  • Proficiency and experience in analytical tools (such as Alteryx, Tableau) will be preferred
  • Prior experience in consulting / analytics world is desirable