Staff Data Analyst

Salla; Jeddah; On-site; SAR 300,000 - 520,000; Full time

Job summary

Salla is seeking a Staff Data Analyst to join its data organization in Jeddah. This senior individual contributor will partner with leadership to identify and solve high-impact company-level problems, specify vague requirements, and lead analytical work that moves top-line and bottom-line metrics.

You will tech-lead other analysts across multiple domains and product lines. You will own development of key metrics, ensure data quality, and mentor junior team members while influencing the roadmap

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.

Responsibilities

• Identify company-level problems with leadership to drive top-line and bottom-line impact.
• Lead strategic initiatives across domains and products with measurable business impact.
• Own end-to-end data products and questions at the data organization level.
• Prioritize and execute with sound judgment, independently or with others.
• Navigate ambiguity and align stakeholders to land impact.
• Recommend concrete actions to business and product stakeholders.

Skills

Stakeholder influence

Mentoring

Problem solving

Structured thinking

Executive communication

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

BI platforms

dbt

BigQuery

ClickHouse

Job 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-check 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