Job Description
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.
- Developed and implemented 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 modelling techniques to predict future trends from historical data.
- Lead A/B testing and other experimental designs to deliver an 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.
