Data Analyst

As a Data Analyst with Quant, you will be responsible for creating meaning from data sets by transforming data into readable, goal-driven reports to assist in continuous innovation and growth. This requires a detail-oriented individual with solid exposure to mathematical and statistical principles and a deep understanding of popular data analysis tools and databases.

Job Responsibilities:

• Collaborate with cross-functional teams, including marketing, sales, product development, and operations, to provide data-driven insights and recommendations.
  
• Develop and implement advanced analytics for different areas in the industry, such as forecast demand, customer behaviors, and in-depth sales analysis.
  
• Develop and maintain 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.
  
• Lead A/B testing and other experimental designs to deliver added value to the end user.
  
• Stay abreast of industry trends and competitive landscape to ensure our strategies are ahead of the curve.
  
• Ensure the integrity and accuracy of data through rigorous quality control and validation processes.
  

Requirements:

• Bachelor's or Master's 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-oriented with a positive attitude and high energy.