About Salla and the Senior Product Data Analyst Role

Salla is seeking a Senior Product Data Analyst to join its team in Jiddah, Makkah, Saudi Arabia. This full-time role is central to influencing how Salla develops and enhances its products through data-driven insights. The analyst will collaborate closely with Product Managers, Engineers, Designers, and the Data team to translate customer behavior and product performance into actionable decisions.

Role Purpose and Strategic Context

The Senior Product Data Analyst will assume end-to-end ownership of analytics for a specific product area. This includes defining success metrics, developing measurement plans, analyzing experiments, monitoring product launches, and recommending subsequent steps. Salla's products are complex and operate at scale, often presenting challenges without predefined solutions. The role requires the ability to quickly understand new domains, synthesize information from incomplete inputs, and determine the appropriate level of analysis for timely decision-making. Success in this position depends on making informed judgments with incomplete information while maintaining analytical rigor and moving with agility.

Key Responsibilities

• Partner with product teams to convert questions and hypotheses into clear Key Performance Indicators (KPIs) and success criteria.
• Manage analytics across critical product journeys, encompassing funnels, feature adoption, engagement, conversion, retention, and segmentation.
• Conduct in-depth analyses to diagnose performance shifts, identify root causes, and propose product enhancement opportunities.
• Design and analyze A/B tests and impact evaluations, including metric selection, guardrails, validation checks, and decision recommendations.
• Develop and validate tracking plans for new features.
• Measure product launches and create dashboards and self-serve tools for continuous product health monitoring.
• Clearly communicate findings, business impact, and trade-offs, while contributing to team best practices and mentoring junior analysts.

Required Experience and Qualifications

• A minimum of 4 years of experience in product analytics, data analytics, or a similar role within a technology or digital-product environment.
• Strong understanding of product metrics, including funnels, cohorts, conversion, retention, and feature adoption.
• Practical experience with product experiments and a solid grasp of hypothesis testing, confidence intervals, statistical power, and common A/B-testing pitfalls.
• Experience with event-based product data, tracking plans, implementation validation, and data-quality checks.

Technical Skills and Core Competencies

• Advanced SQL proficiency and experience working with large, intricate datasets.
• Proficiency with a Business Intelligence (BI) tool such as Looker, Metabase, or Tableau, complemented by a working knowledge of Python or R.
• Demonstrated product judgment and the capability to manage analytical work autonomously in ambiguous situations.
• Excellent communication and stakeholder-management skills, with a proven ability to influence product decisions through data insights.

Application Process

Candidates who meet the specified qualifications are encouraged to apply.