Requirements
● Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related fields.
● Good reporting skills with Excel.
● Experience with common analysis tools such as SQL, Python, and R.
● Good ability to work with data visualization libraries in Python (Matplotlib, Seaborn, etc.).
● Experience with at least one data visualization tool (PowerBI, Tableau, Qlik, etc.).
● Good English knowledge Study and research about data analysis and customer behavior.
● Good documentation and presentation ability.
● A self-driven team player with the ability to quickly learn and apply new tools and techniques such as data models, and programming languages.
● A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyze and break down complex concepts and technical findings into clear and simple language for communication.
● Relevant work experience in an Analytics or Data Science role will be a plus.
● Familiarity with statistical hypotheses and working with statistical software (EViews, SAS, Minitab, SPSS, etc) will be a plus.
● Familiarity with customer behavior and geographic data (GIS) will be a plus.
● Experience building web-based dashboards and working with related Python libraries (Plotly Dash, etc.) will be a plus.
● Familiarity with version control platforms (Git, Azure, etc.) will be a plus.
● Ability to work with data warehouse manufacturing and management tools (ETL) will be a plus.
