Data Analyst II (Saudi National)
At a glance
Mid-level Data Analysis & BI role at Delivery Hero. Riyadh · full-time.
Pay not stated Data Analyst salary
dataroles summary, based on the employer's posting.
What you'll do
- Study product and business metrics to pinpoint what drives growth and where performance could improve
- Build reports and interactive dashboards that give business teams useful views of their data
- Use quantitative findings to help product managers, designers and engineers decide what to build and why
- Run A/B tests from hypothesis through results, applying statistical methods to assess outcomes
- Take data projects from collection into operational use, while improving analytical processes
What you bring
- You have two to four years in data analytics or a related area, plus a relevant bachelor's degree
- You can query with SQL, including BigQuery, and use Python or R to work through large datasets
- You have applied statistics and can analyze data drawn from multiple sources
- You have built dashboards with Looker Cloud, Tableau or another listed visualization platform
Who this fits
This mid-level role suits a Saudi national with experience turning data into clear guidance for product and business teams. The position is based onsite in Riyadh.
From the employer
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.
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.
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.
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