# Senior BI Developer / Data & Analytics Specialist - Company: [Wizeline]() - Location: Mexico - Team: Data Engineering - Posted: April 10, 2026 ## Job 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** * **SQL Development & Optimization:** Expertly write SQL syntax, execute query tuning and optimization, and manage indexing, Stored Procedures, Window Functions, and dimensional modeling. * **Power BI Modeling & Visualization:** Design complex metrics and dashboards in Power BI Report Server (On-Premise environments) using advanced DAX and Power Query (M). * **End-to-End Data Management:** Oversee and own the complete data lifecycle, including Data Mastering, ETL, Data Modeling, and Visualization. * **Technical & Business Collaboration:** Translate business needs into analytical technical solutions with high attention to detail and a results-driven mindset. **Must-Have Skills** * **Education:** Bachelor’s Degree or Engineering in Computer Science, Systems, Data Science, Applied Mathematics, Actuarial Science, Industrial Engineering, or a related field (Graduated/Degree completed). * **Experience:** 3 to 5 years in BI Development, Data Modeling, and Analytics roles. * **Advanced SQL:** Expert proficiency in query tuning, indexing, Stored Procedures, Window Functions, and dimensional modeling. * **Advanced Power BI:** Mastery of advanced DAX, Power Query (M), complex KPI development, and On-Premise reporting (Power BI Report Server). * **End-to-End Data Lifecycle:** Demonstrated capability across the entire data lifecycle (Mastering, Extraction, Transformation, Loading, Modeling, and Visualization). **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. **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](https://www.instagram.com/wizelineglobal/). ## Apply [Apply on Wizeline]() Canonical job page: