Data Analyst II (Saudi National)
Riyadh, Saudi Arabia
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAnalyze product and business data to find growth drivers and improvement opportunities
Design and analyze A/B tests with statistical methods
Build and maintain dashboards and reports for business teams
Use SQL and Python or R to process large datasets from multiple sources
Own data projects from collection through to operationalization
From the employer’s posting
Analyze product and business data to understand growth drivers and identify opportunities for improvement.
Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods.
Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms.
Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets.
Own data projects from data collection through to operationalization.
What you’ll bring
All qualificationsCore 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 field.
- Strong SQL skills, with experience using BigQuery.
- Python or R experience is required.
- Experience working with large datasets and data from multiple sources.
- Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.
Qualification wording
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 field.
Strong SQL skills, with experience using BigQuery.
Python or R experience is required.
Experience working with large datasets and data from multiple sources.
Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.
Education & alternatives
- 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 field. - Strong SQL skills, with experience using BigQuery.
Tools in this posting
- Python
- R
- SQL
- BigQuery
- Looker
- PostgreSQL
- Redshift
- Tableau
Source — Tool mentions in context
- Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL. - Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets. - Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods.
- Strong SQL skills, with experience using BigQuery. - Python or R experience is required. - Basic knowledge of statistics and experience applying statistical methods to data.
- Bachelor’s degree in Business Administration, Computer Science, Information Systems, or a relevant field. - Strong SQL skills, with experience using BigQuery. - Python or R experience is required.
- Use quantitative analysis to uncover insights and help Product Managers, Designers, and Engineers understand what to build and why. - Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL. - Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets.
- Own data projects from data collection through to operationalization. - Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms. - Contribute to continuous improvement of data and analytical processes.
- Strong analytical and problem-solving skills. - Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar. - Ability to translate data into clear, actionable insights for business and product stakeholders.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 12, 2026 · 48 days ago
- Recorded sightings
- 132
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 10, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
As a Data Analyst II at HungerStation, you will support the product development lifecycle by analyzing data, understanding user needs, and providing actionable insights that help optimize product performance.
You will work closely with Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams to turn data into meaningful insights and support data-driven decision-making.
In this role, you will:
Analyze product and business data to understand growth drivers and identify opportunities for improvement.
Develop analyses, reports, and interactive dashboards to support business teams and stakeholders.
Use quantitative analysis to uncover insights and help Product Managers, Designers, and Engineers understand what to build and why.
Work with structured and semi-structured data from multiple sources, including BigQuery, Redshift, and PostgreSQL.
Use SQL (BigQuery) and Python or R to extract, process, and analyze large datasets.
Design and analyze A/B tests by defining hypotheses, setting up experiments, and evaluating results using statistical methods.
Own data projects from data collection through to operationalization.
Build and maintain dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar visualization platforms.
Contribute to continuous improvement of data and analytical processes.
Qualifications
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 field.
Strong SQL skills, with experience using BigQuery.
Python or R experience is required.
Basic knowledge of statistics and experience applying statistical methods to data.
Experience working with large datasets and data from multiple sources.
Strong analytical and problem-solving skills.
Experience creating dashboards and reports using tools such as Looker Cloud, Tableau, Google Data Studio, or similar.
Ability to translate data into clear, actionable insights for business and product stakeholders.
Strong communication and collaboration skills, with the ability to work across Product, Technology, Marketing, Commercial, Logistics/Operations, and Growth teams.
Company Description
Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Riyadh, Saudi Arabia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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