Junior Data Analyst 04N25

The Junior Data Analyst will be a critical member of the data science team who will support data-driven decision making across multiple departments of our organization. This role requires a keen eye for detail, excellent analytical skills, and a desire to work in a fast-paced environment. As a Junior Data Analyst, you will collect, process, and analyze data to help improve business strategies, processes, and systems. The ideal candidate will have a good foundation in statistical analysis and a passion for uncovering patterns and insights hidden within complex datasets. You will collaborate with experienced analysts and cross-functional teams to ensure data integrity, develop meaningful insights, and communicate results effectively. This position offers an excellent learning opportunity and a chance to build a career in data analysis.

Responsibilities

• Collect and analyze data to identify trends, patterns, and insights.
• Support senior analysts in the preparation of detailed reports and presentations.
• Work closely with IT departments to maintain data integrity and security.
• Utilize various statistical techniques to analyze data sets effectively.
• Assist in developing predictive models that inform strategic decisions.
• Collaborate with different teams to understand their data needs and requirements.
• Prepare dashboards and visualizations to present analysis to stakeholders.
• Organize and manage large datasets, ensuring accuracy and efficiency.
• Assist in automating data collection and analysis processes where possible.
• Continuously improve analytical skills through training and professional development.
• Monitor ongoing business processes to ensure continuous improvement.
• Support data-centric projects from inception through to execution and evaluation.

Requirements

• Bachelor’s degree in Data Science, Statistics, Economics, or a related field.
• Proven experience in data analysis or a related field is preferred.
• Proficiency in data analysis tools such as Excel, SQL, or Python.
• Strong organizational skills and attention to detail are essential.
• Excellent communication skills to convey complex data insights clearly.
• Experience with data visualization tools like Tableau or Power BI is beneficial.
• An analytical mindset with a strong problem-solving ability is required.