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Mid Data Solutions Analyst

WIZELINE
CompanyWIZELINE
CategoryData & Analytics
LocationMexico
RemoteOn-site (inferred)
EmploymentNot stated
LevelMid
SalaryNot stated by the employer
Posted10 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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: Key Responsibilities Data Assessment: Assist in stakeholder interviews, document business needs, and maintain Data Assessment/Traceability matrices. SQL & Data Analysis: Build intermediate SQL queries and perform data validation checks across multiple sources. Requirements & Documentation: Draft clear requirement documents, workflow diagrams, and KPI specifications. Quality & Adoption: Execute data quality checks and conduct validation tests to ensure data consistency. Modeling Support: Assist in designing basic logical and BI data models. Must-have Skills   Experience: +2 years in data analysis, BI systems, or technical requirements gathering. SQL (Intermediate): Proficiency in writing queries, and data aggregations. BI Tools: Hands-on experience or familiarity with Power BI, Tableau, or Looker. Core Skills: Strong structured thinking, basic knowledge of statistics/probability, and an understanding of retail/business KPIs. Communication: Excellent ability to communicate clearly with both technical development teams and business users.   Nice-to-have: AI Tooling Proficiency : Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. Exposure to cloud data warehouses (e.g., BigQuery). Basic Python scripting skills. Process mapping tools (Lucidchart / Visio). Experience working in Agile/Scrum environments.   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 . ← When adding this link, edit the link and select open in new window, otherwise the link will not open (See image below)
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