About Nana:

Nana is an internet marketplace connecting customers with their favorite grocery stores, pharmacies and specialty stores. Our mission is to deliver the highest quality of online grocery customer experience with a sense of affection, care, and pride. Nana was established in 2016 and is headquartered in Riyadh, Ar Riyad, Saudi Arabia.

Nana funding: 500M SAR
Current funding stage: Series C
Nana backed by: STV, MEVP, Wamda Capital, Saudi Venture Capital, Impact46, Watar Partners

Responsibilities and Duties:

  • Extract, transform, and load data from multiple sources to a data warehouse or other unified data repository.
  • Provide High-performance infrastructure for cloud computing, data analytics & machine learning. Secure, reliable and high performance cloud services using GCP - Google Cloud Platform.
  • Provide quality assurance of imported data, working with quality assurance analysts if necessary.
  • Generate credible hypotheses for specific actions that will lead to an acceleration of growth
  • Analyze sales figures, market research, logistics, or transport data.
  • Use analytical, statistical, and programming abilities to gather a massive amount of data to create solutions for the business.
  • Create charts and visual presentations showing trends in the collected data.
  • Analyze data from various channels and platforms to extract business insights.
  • Create and use advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Identify relevant data sources for business needs & collect structured and unstructured data.
  • Utiliz analytics and data to understand customer behavior, identify opportunities and address major challenges.
  • Manage leads and data using existing tools, and ensure timely follow-up on inbound inquiries.


  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field.
  • Ability to extract insights using advanced SQL to work efficiently at scale.
  • Ability to use analytics tools including Google Analytics and Excel.
  • Self-motivated, highly adaptable, and comfortable in an imperfect dynamic startup environment.
  • Basic written and verbal communication skills in English.