Data Analyst

Imploy; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Job summary

Imploy seeks a Product Data Analyst to turn product data into actionable insights for product development and business decisions. You will own product analytics, define metrics, improve data tracking, and present recommendations to leadership.

Responsibilities include managing product metrics, data quality, a standardized Job Title Taxonomy, dashboards, and experiments, while ensuring PDPL compliance and data retention policies are followed.

Qualifications

• 2-5 years of experience in Data Analytics, including at least 2 years supporting a live digital product.
• Advanced SQL skills, including complex joins, aggregations, and query optimization.
• Strong proficiency in Python or R for advanced data analysis.
• Advanced experience with a BI platform such as Power BI, Tableau, Looker, or Metabase, including data modeling.
• Hands-on experience in Product Analytics and designing data tracking plans.
• Experience with experimentation, statistical analysis, sample sizing, and significance testing.
• Proven experience cleaning and resolving data quality issues in production environments.
• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field, or equivalent practical experience.
• Excellent English communication skills; Arabic is strongly preferred.
• Must be based in Riyadh, Saudi Arabia.

Responsibilities

• Define, manage, and document key product metrics, including activation, job application journeys, recruiter engagement, and AI service performance.
• Lead the development and governance of a standardized Job Title Taxonomy to improve data quality and consistency.
• Identify, analyze, and resolve data quality issues across production data.
• Design and maintain data tracking plans, defining events and properties for engineering teams to implement.
• Conduct end-to-end analysis, from defining business questions and writing SQL queries to delivering actionable recommendations.
• Design and analyze experiments, including sample size calculations and statistical significance testing.
• Build and maintain dashboards and the underlying data models to support self-service analytics.
• Validate data accuracy, investigate anomalies, and challenge data that does not align with actual product behavior.
• Present insights and actionable recommendations to Product, Engineering, and Executive teams.
• Handle personal data in compliance with the PDPL and internal data-retention policies.

Skills

SQL

Python or R

Product Analytics

Data Tracking Plans

Experimentation & Statistics

Data Quality

English Communication

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Tableau

Looker

Metabase

Job description

Industry: Technology, Information and Internet

About the Role

We are looking for a Product Data Analyst to join our digital product team and turn product data into actionable insights that support product development and business decisions.

This role focuses on Product Analytics, including understanding user behavior, ensuring data quality, defining product metrics, improving data tracking, and providing clear recommendations based on data. The role goes beyond traditional Business Intelligence reporting and requires hands-on experience working with data from live digital products.

Key Responsibilities

• Define, manage, and document key product metrics, including activation, job application journeys, recruiter engagement, and AI service performance.
• Lead the development and governance of a standardized Job Title Taxonomy to improve data quality and consistency.
• Identify, analyze, and resolve data quality issues across production data.
• Design and maintain data tracking plans, defining events and properties for engineering teams to implement.
• Conduct end-to-end analysis, from defining business questions and writing SQL queries to delivering actionable recommendations.
• Design and analyze experiments, including sample size calculations and statistical significance testing.
• Build and maintain dashboards and the underlying data models to support self-service analytics.
• Validate data accuracy, investigate anomalies, and challenge data that does not align with actual product behavior.
• Present insights and actionable recommendations to Product, Engineering, and Executive teams.
• Handle personal data in compliance with the Saudi Personal Data Protection Law (PDPL) and internal data-retention policies.

Requirements

• 2-5 years of experience in Data Analytics, including at least 2 years supporting a live digital product.
• Advanced SQL skills, including complex joins, aggregations, and query optimization.
• Strong proficiency in Python or R for advanced data analysis.
• Advanced experience with a BI platform such as Power BI, Tableau, Looker, or Metabase, including data modeling.
• Hands-on experience in Product Analytics and designing data tracking plans.
• Experience with experimentation, statistical analysis, sample sizing, and significance testing.
• Proven experience cleaning and resolving data quality issues in production environments.
• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field, or equivalent practical experience.
• Excellent English communication skills; Arabic is strongly preferred.
• Must be based in Riyadh, Saudi Arabia.

Preferred Qualifications

• Experience with dbt or Data Warehouse Modeling.
• Knowledge of job and occupation classification standards such as ESCO, ISCO, or O*NET.
• Knowledge of PDPL or similar data protection regulations.
• Experience in digital marketplaces, recruitment platforms, or HR Tech.

What We're Looking For

We are looking for an analytical professional who can go beyond dashboards and reports - someone who can identify the right questions, investigate the data, understand product behavior, and translate findings into clear, actionable recommendations.