Junior Data Analyst

As a Junior Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to help support business decisions. Your main tasks will include cleansing and transforming data, creating reports and visualizations, and identifying trends and patterns within the data. You will work closely with senior data analysts and other team members to gather requirements and deliver insights that contribute to the overall success of the business. Strong analytical skills, attention to detail, and proficiency in data management tools such as Excel, SQL, and possibly Python or R are essential for this role. Additionally, effective communication skills and the ability to present findings in a clear and concise manner will be key to your success as a Junior Data Analyst.

Responsibilities

• Collecting and interpreting data from various sources to identify patterns and trends
• Cleaning and organizing datasets to ensure accuracy and reliability
• Utilizing statistical methods to analyze data and generate insights
• Creating data visualizations and reports to communicate findings to stakeholders
• Collaborating with team members to understand project requirements and deliver results
• Assisting in developing data models and algorithms to support business decision-making
• Conducting quality control checks to validate data and ensure data integrity
• Supporting the maintenance and improvement of databases and data systems
• Keeping up-to-date with industry best practices and advancements in data analysis techniques
• Providing ad-hoc analysis and reporting as needed by the organization

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field.
• Proficiency in data analysis tools such as Excel, SQL, and Python.
• Strong analytical skills with the ability to interpret data and trends.
• Familiarity with data visualization techniques and tools like Tableau or Power BI.
• Excellent communication skills and the ability to present findings to stakeholders.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field.
• Proficiency in data analysis tools such as Excel, SQL, and Python.
• Strong analytical skills with the ability to interpret data and trends.
• Familiarity with data visualization techniques and tools like Tableau or Power BI.
• Excellent communication skills and the ability to present findings to stakeholders.