Senior Data Analyst – AI Insights & Business Strategy

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: ML/AI Translation: Interprets outputs from predictive, classification, and NLP models and converts them into executive recommendations with clear business context. Communicates technical metrics (precision, recall, AUC-ROC, SHAP values, drift) to non-technical audiences through reports and presentations. Advanced SQL & Python: Writes complex queries (CTEs, window functions, optimization) and Python scripts (pandas, scikit-learn, visualization) to extract, transform, and analyze data from multiple sources. Dashboard Development: Designs and maintains strategic dashboards in Power BI, Tableau, Looker, or similar tools to monitor business KPIs and ML model performance in production. Strategic Thinking: Acts as an internal consultant for business areas seeking to leverage AI/ML capabilities — evaluating feasibility, co-designing success criteria, and prioritizing initiatives by impact alongside stakeholders and technical teams. Data Governance & Quality: Ensures integrity, consistency, and traceability of data used in reports and dashboards; contributes to analytical and model documentation standards. Executive Communication & Storytelling: Comfortable presenting insights to VP and C-level audiences. Applies visual literacy principles (Gestalt, color theory) to reduce cognitive load and drive high-impact decisions. Nice-to-have: Model Review Participation: Experience joining data science sessions to validate the business relevance of model findings and exploratory analyses. AI Use Case Development: Track record identifying opportunities for new AI/ML use cases through exploratory analysis and cross-functional collaboration. AI Adoption Practices: Familiarity documenting and socializing AI best practices within an organization. Technical English: Proficiency in reading, writing, and presenting in English within technical and executive contexts. 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 .