This role has closed. Wizeline has taken the posting down.
hirly last saw it live on 29 September 2026. See similar open roles below, or browse all Business Analyst jobs.
Wizeline
Senior Business Analyst
Mexico City
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hirly's read of this role
- Seniority
- Senior
- Country
- MX
- Work mode
- On-site / unstated
- First seen by hirly
- 13 Sept 2026
Derived automatically from the posting.
the posting
We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there's no limit to what we can achieve.
Are you a fit? Sounds awesome, right? Now, let's make sure you're a good fit for the role:
Must-have Skills:
4 to 6+ years of experience as a Senior Business Analyst, Technical Business Analyst, Product Owner, or Product Strategist within Supply Chain, Retail, Logistics, or WMS implementations.
Agile Requirements Delivery: Deep hands-on experience writing refined user stories, defining acceptance criteria, and managing backlogs using Jira, Azure DevOps, and Confluence within Scrum/Kanban environments.
Process Modeling (BPMN): Advanced skills in process mapping and diagramming using tools like Bizagi, Lucidchart, or Visio.
Data Analysis & SQL: Strong ability to run complex SQL queries, analyze datasets, and build operational reports using Power BI and advanced Excel.
Financial & Business Case Acumen: Proven ability to build business cases, calculate ROI, and evaluate P&L impact for technical and operational feature rollouts.
Bilingual Executive Communication: Exceptional presentation, negotiation, and stakeholder management skills in both English and Spanish.
Nice-to-have:
AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including asset creation, workflow automation, or research. Identify opportunities to streamline production processes.
AI/ML Lifecycle Understanding: Conceptual knowledge of digital product architecture, machine learning models, predictive analytics, and AI data governance.
Retail Supply Chain Domain Knowledge: Direct exposure to large-scale retail operations, omnichannel distribution, or major core enterprise WMS platforms (e.g., Manhattan, Blue Yonder, HighJump).
Design Thinking & Innovation: Practical experience facilitating Design Thinking workshops to discover user needs and map customer/operator journeys.
What we offer:
A High-Impact Environment
Commitment to Professional Development
Flexible and Collaborative Culture
Global Opportunities
Vibrant Community
Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here .