Job Description

Roles & Responsibilities

About the company

Tabby builds financial products used by millions of users across the GCC. Product decisions at Tabby are heavily data-driven and rely on high-quality analytics, experimentation, and close collaboration between product, engineering, and business teams.

This internship is not educational by default. It is a hands-on analytical role with real responsibility and real impact on product decisions.

Context

Product analysts at Tabby work with product teams to measure, understand, and improve user and partner experiences. This includes defining metrics, building dashboards, validating data quality, supporting experiments, and translating data into actionable insights.

The internship is designed for strong early-career analysts. Interns are embedded into real product teams, work with production data, and are expected to operate with a high level of analytical rigor from day one.

This is not a reporting-only role. Interns work on real analytical tasks under senior review.

Work with product managers and engineers to define and track product and operational metrics
Build and maintain dashboards and recurring reports
Write production-level SQL queries to analyze product behavior and performance
Support experiments and A/B tests: metric definition, validation, and result analysis
Investigate product and operational issues using data and identify root causes
Validate data quality and consistency across sources
Help document metrics, data definitions, and analytical assumptions
Present findings clearly to product and business stakeholders

Required

Strong analytical and quantitative thinking
Solid knowledge of SQL and relational databases
Basic working knowledge of Python for data analysis
Understanding of how product metrics are used to drive decisions
Ability to structure ambiguous problems and break them into analytical tasks
Attention to data correctness and reproducibility
Open to constructive feedback
English sufficient for documentation and team communication
Basic understanding of data visualization approaches

Strong plus

Experience with product or marketplace analytics
Experience supporting A/B tests or experiments
Familiarity with data modeling concepts
Exposure to ML-driven features or analytical validation of ML outputs
Experience working with large datasets or analytical warehouses
Interest in product discovery, UX, or growth analytics
Experience working with data visualization tools
Experience with Git or versioned workflows is a plus

Intern Product Analyst tabby

People Looking for Product Analyst Jobs also searched