Associate Data Analyst - Builders Program - Emirati National

Builders Program

About the Role

Data Modeling and Analytics

• Model and transform data for analysis.
• Build and maintain reusable fact and dimension datasets for reporting and self-service analytics.
• Define, document, and align business metrics such as active user, approval rate, and default rate.
• Answer ad hoc questions with clear analysis and explainable methodology.
• Turn recurring questions into reusable dashboards and self-service analytics assets.

AI-Ready Analytics

• Create well-defined datasets, metrics, and documentation that can be safely used by AI tools and people.
• Package datasets and metrics with clear grain, business definitions, data contracts, examples, and validation guidance.
• Write glossaries, metric definitions, common queries, and documentation of potential pitfalls.
• Partner with AI and platform teams to ensure critical tables are discoverable, correctly permissioned, and safe to use.

Data Quality and Collaboration

• Write tests, checks, and monitoring for key datasets and critical metrics.
• Troubleshoot data issues and improve reliability from source to reporting.
• Collaborate with data engineers on schema changes, event tracking, and pipeline improvements.
• Translate ambiguous business questions into measurable analyses and communicate findings clearly.
• Use AI tools for SQL drafting, code scaffolding, and documentation while validating outputs and protecting sensitive data.

Must-Have Expertise

• Recent graduate or less than one year of relevant experience; internships, projects, or part-time roles count.
• Solid SQL fundamentals, including joins, aggregations, and basic window functions.
• Basic skills in one programming language for analysis, preferably Python.
• Basic data manipulation and statistics skills.
• Ability to define problems, form hypotheses, validate data, and explain results.
• Strong attention to detail and commitment to accurate, reliable outputs.
• Ability to work effectively in a team-oriented environment.

Nice to Have

• Exposure to data modeling concepts such as star schemas, slowly changing dimensions, and metrics definition.
• Familiarity with dbt, BigQuery, Snowflake, Looker, Power BI, or Tableau through coursework or projects.
• Experience creating AI-ready data assets or using AI assistants responsibly for analysis or analytics engineering.
• Experience with Git or basic software engineering practices.
• Understanding of event tracking and product analytics, including funnels, cohorts, and retention.
• Knowledge of responsible data handling, PII basics, access controls, and safe sharing.

Success Measures

Job Details

• Role level: Entry-Level.
• Work type: Full-Time.
• Country: United Arab Emirates.
• City: Dubai.
• Job function: Data Science and AI.