Job Description
Job Description
About the Role:
The Junior Data Analyst will play a crucial role in supporting the data-driven decision-making process within our retail trade operations. This position involves collecting, analyzing, and interpreting data to provide actionable insights that enhance business performance and customer satisfaction. The successful candidate will work closely with senior analysts and various departments to identify trends, patterns, and opportunities for improvement. By transforming complex data into clear reports and visualizations, the Junior Data Analyst will help inform strategic initiatives and operational efficiencies. Ultimately, this role is essential for driving data literacy across the organization and ensuring that data is leveraged effectively to meet business goals.
Minimum Qualifications:
- Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
- Proficiency in Excel and experience with data visualization tools such as Tableau or Power BI.
- Basic understanding of statistical analysis and data modeling techniques.
Preferred Qualifications:
- Experience with SQL for database querying.
- Familiarity with programming languages such as Python or R for data analysis.
- Previous internship or work experience in a data analysis role, preferably in the retail industry.
Responsibilities:
- Collect and clean data from various sources to ensure accuracy and reliability.
- Analyze sales, inventory, and customer data to identify trends and insights.
- Create and maintain dashboards and reports to visualize key performance indicators.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Assist in the development of data-driven strategies to improve business operations and customer experience.
Skills:
The required skills, such as proficiency in Excel and data visualization tools, are essential for daily tasks like creating reports and dashboards that communicate findings effectively. Understanding statistical analysis allows the Junior Data Analyst to interpret data accurately and make informed recommendations. Preferred skills, such as SQL and programming knowledge, enhance the ability to manipulate large datasets and automate repetitive tasks, increasing efficiency. Strong communication skills are vital for collaborating with team members and presenting insights to stakeholders. Overall, a combination of technical and analytical skills will empower the Junior Data Analyst to contribute significantly to the organization's data-driven culture.