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Data Insights Specialist

2 weeks ago

Riyadh, Ar Riyāḑ, Saudi Arabia QUANT Full time

As a Data Analyst at Quant, you will be responsible for extracting meaningful insights from complex data sets by transforming them into actionable reports to drive continuous innovation and growth. This requires an individual with a detail-oriented mindset, solid exposure to mathematical and statistical principles, and a deep understanding of popular data analysis tools and databases.

Key Responsibilities:

  • Collaborate with cross-functional teams, including marketing, sales, product development, and operations, to provide data-driven recommendations and strategic guidance.
  • Develop and implement advanced analytics for various areas within the industry, such as forecasting demand, customer behaviors, and in-depth sales analysis.
  • Create and maintain interactive dashboards and reports that visualize complex datasets in a comprehensible way for stakeholders.
  • Communicate findings and insights from the data to non-technical team members and stakeholders through clear and concise reports or presentations.
  • Apply data modeling techniques to predict future trends from historical data.
  • Leverage experimentation design to deliver added value to end-users.
  • Stay up-to-date on industry trends and competitive landscapes to ensure our strategies remain ahead of the curve.
  • Maintain the integrity and accuracy of data through rigorous quality control and validation processes.

Requirements:

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
  • Over 4 years of experience with statistical software and programming languages, including R, Python, and SQL.
  • Expertise in managing and analyzing large, complex datasets.
  • Experience with ETL tools, specifically Airflow, is a plus.
  • Extensive experience (4+ years) with data visualization tools, including Tableau and Power BI, with a proven ability to create insightful dashboards.
  • Skilled in translating complex data into actionable insights for non-technical stakeholders through clear communication and presentations.
  • Solid understanding of data modeling concepts.
  • Familiarity with machine learning techniques is a plus.
  • Working knowledge of Alteryx is an advantage.
  • Experience within the food and beverage industry is a plus.
  • Proactive, independent, and results-driven with a positive attitude and high energy.