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Wizeline, Inc. is seeking a BI Developer with 3–5 years of experience to design and optimize data solutions using SQL and Power BI. You will build dashboards, master data lifecycle processes, and collaborate with business teams to translate requirements into analytical products.
The role emphasizes hands-on data modeling, advanced DAX, and on-prem Power BI reporting, with a focus on delivering actionable insights across the organization.
Mexico
We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge,AI-powereddigital 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 ofgrowth, collaboration,andimpact.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:
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.
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).
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.
*Specific benefits are determined by the employment type and location.