Entry Level Data Analyst

 Responsibilities:

• Collect, organize, and analyze data from various sources to support forecasting activities.
• Develop and maintain forecasting models using Excel.
• Prepare and present reports on forecast accuracy, trends, and performance to the forecasting team.
• Identify and communicate trends, patterns, and anomalies in the data that may impact the accuracy of forecasts.
• Collaborate with other departments to ensure data accuracy and completeness.
• Monitor industry trends and competitive activities to improve forecasting accuracy and efficiency.
• Participate in the development and implementation of process improvements and enhancements.

 Requirements:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Strong analytical skills and attention to detail.
• Proficiency in Excel, including advanced functions such as pivot tables, VLOOKUP, and macros.
• Excellent written and verbal communication skills.
• Ability to work in a fast-paced environment with changing priorities.
• Strong problem-solving and critical-thinking skills.
• Ability to work independently and as part of a team.

Key Skills:

• Data Visualization.
• Data Cleaning.
• Python.
• SQL and NoSQL.
• Machine Learning.
• Linear Algebra and Calculus.