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Remote Data Analyst - From home ...

Kabshk
Makkah, Saudi Arabia

Remote Data Analyst - From home _ remotely

Kabshk
Makkah, Saudi Arabia
Posted 1 month ago
494Applicants for1 open position
  • 168Viewed
  • 100In Consideration
  • 44Not Selected

Job Details

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Job Description

  • Remote Data Analyst - Global Cafes & Restaurants -
  • Join our innovative online menu platform and help us revolutionize the restaurant industry! As a
  • Remote Data Analyst, you will play a crucial role in driving sales growth for our restaurant partners by uncovering valuable insights from our extensive dataset.

Your Mission:

  • Delve into our rich data to identify patterns and trends that influence customer behavior and dining preferences.
  • Develop data-driven strategies to optimize menu offerings, pricing, and promotions.
  • Build predictive models to forecast sales and identify potential risks and opportunities.
  • Collaborate with our product and marketing teams to enhance our platform and drive user engagement.
  • Leverage your analytical skills to uncover actionable insights that will empower our restaurant partners to thrive.
  • Translate data-driven insights into actionable recommendations to support strategic decision-making.
  • Identify opportunities for data-driven innovation and process improvement.

 

Job Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics

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