# Staff Data Analyst

> Salla · Jeddah, Saudi Arabia (Hybrid) · Full-time · Posted 2026-08-10

**Workplace:** hybrid

**Department:** AI and Data Analytics

## Description

We are looking for a Staff Data Analyst within Salla’s data organization.

This is a senior individual contributor role. Rather than executing a defined backlog, you will work with leadership to identify which company-level problems are worth solving, specify them from vague requirements, and lead the analytical work that moves top-line and bottom-line metrics. Your scope spans multiple domains and product lines, you will tech-lead other analysts, and your impact is measured by the decisions you change and the capability you build in others.

### Responsibilities

-   Work with leadership to proactively identify key company-level problems to solve, driving direct impact to top-line and bottom-line metrics.
-   Drive strategic initiatives that span multiple domains and product lines, with measurable business impact.
-   Take independent end-to-end ownership of broad data products and business questions, as well as questions at the data organization level.
-   Demonstrate excellent judgement in prioritizing and executing both independently and through others.
-   Navigate ambiguous questions and organizational challenges to land impact, managing upward, downward, and sideways across multiple stakeholders.
-   Recommend clear actions and decisions for your business and product stakeholders to take, rather than presenting options without a point of view.
-   Influence the roadmap and strategy of your domain, persuading stakeholders to act on the back of your analytical work.
-   Fully manage stakeholder relationships: identify new stakeholders, build coalitions to influence business strategy, and leverage them to unblock execution.
-   Communicate all aspects of your technical knowledge in a didactic and approachable way to all levels of the organization.
-   Own the development and maintenance of key metrics with your stakeholders and data peers, setting data quality standards and defining metric layers.
-   Ensure the data behind every analysis is accurate, reliable, and relevant, accounting for outliers, sparsity, sample size, imbalances, and missing or corrupted data, and cross-checking against independent internal sources where relevant.
-   Clearly call out the methodological approaches considered, and document assumptions and caveats, statistical significance, and confidence intervals to prevent misinterpretation by stakeholders.
-   Own the mentorship and professional development of junior and mid-level team members.

## Requirements

-   Bachelor’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, or similar), or equivalent practical experience.
-   5+ years in analytics, with a demonstrable track record of analyses that changed material business decisions.
-   Expert-level SQL, including window functions and working with large-scale analytical databases.
-   Strong proficiency in Python for analysis (pandas, NumPy, SciPy, scikit-learn, visualization libraries).
-   Advanced experience with BI platforms and semantic modelling, with a focus on enabling self-serve analytics rather than producing dashboards on request.
-   Excellent problem-solving skills and structured thinking applied to ambiguous or technically complex problems.
-   Demonstrated ability to influence senior stakeholders without direct authority, build coalitions, and hold a position under pressure when the evidence supports it.
-   Evidence of tech-leading or mentoring other analysts and raising the standard of a team, not only strong individual output.
-   Excellent written and verbal communication, with the ability to make complex analysis legible to an executive audience.

### Nice to have

-   Experience in e-commerce, marketplaces, fintech, or another high-volume transactional domain.
-   Familiarity with modern warehousing and transformation tooling (dbt, columnar databases such as ClickHouse or BigQuery).
-   Experience with event-level product analytics and instrumentation design.
-   Experience supporting pricing, monetization, or revenue modelling work.
-   Working knowledge of version control and code review practices applied to analytics work.

## Apply

[Apply at Salla](https://apply.workable.com/salla/j/FA4BAC2917/apply)

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