Data Analyst II (Saudi National)

📣 إعلان

منذ ساعتين تقريبا

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About HungerStation

HungerStation, part of the Delivery Hero Group, operates as a local delivery platform. Delivery Hero Group is active in approximately 65 countries globally. HungerStation focuses on providing a fast, easy, and reliable delivery experience.

Role Overview

HungerStation is seeking a Data Analyst II (Saudi National) to join its team in Riyadh. This full-time role involves supporting the product development lifecycle by analyzing data, understanding user needs, and generating actionable insights to optimize product performance. The Data Analyst II will collaborate with Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams to facilitate data-driven decision-making.

Key Responsibilities

Analyze product and business data to identify growth drivers and areas for improvement.
Develop analyses, reports, and interactive dashboards for business teams and stakeholders.
Utilize quantitative analysis to provide insights that guide Product Managers, Designers, and Engineers.
Work with structured and semi-structured data from sources such as BigQuery, Redshift, and PostgreSQL.
Extract, process, and analyze large datasets using SQL (BigQuery) and Python or R.
Design and analyze A/B tests, including defining hypotheses, setting up experiments, and evaluating results using statistical methods.
Manage data projects from initial data collection through to operationalization.
Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar platforms.
Contribute to the continuous improvement of data and analytical processes.

Qualifications and Experience

2–4 years of relevant experience in Data Analytics or a related field.
Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a relevant discipline.
Strong SQL skills, with demonstrated experience using BigQuery.
Proficiency in Python or R is required.
Basic knowledge of statistics and practical experience applying statistical methods to data.
Experience working with large datasets and data from multiple sources.
Strong analytical and problem-solving capabilities.
Experience in creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms.
Ability to translate data into clear, actionable insights for business and product stakeholders.
Strong communication and collaboration skills, with the ability to work effectively across Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams.