Junior Data Analyst

Application ends: July 1, 2024
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Job Description

 Collaborate with cross-functional teams to understand data requirements and objectives.
 Collect, clean, and manipulate data from various sources to prepare it for analysis.
 Develop and maintain reports and dashboards using Microsoft Power BI to visualize data and provide actionable insights.
 Assist in the design, development, and maintenance of data models and databases.
 Perform ad-hoc analysis and present findings to key stakeholders.
 Assist in identifying trends, patterns, and opportunities within the data to support business goals.
 Provide support for other Microsoft Power Platform apps such as Power Apps and Power Automate as needed.


 Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field.
 Strong analytical and problem-solving skills with a passion for working with data.
 Proficiency in Microsoft Excel for data manipulation and analysis.
 Working knowledge of Microsoft Power BI for data visualization and reporting.
 Familiarity with other Microsoft Power Platform apps such as Power Apps and Power Automate is a plus.
 Excellent communication and interpersonal skills with the ability to collaborate effectively with team members and stakeholders.
 Detail-oriented with a commitment to producing high-quality work.
 Ability to work independently and manage multiple tasks in a fast-paced environment.
 Knowledge of logistics industry will be an advantage

Preferred Qualifications:

 Experience with SQL or other programming languages for data manipulation and analysis.
 Knowledge of data warehousing concepts and techniques.
 Experience with data visualization best practices and design principles.
 Familiarity with statistical analysis and predictive modeling techniques.
 Certification in Microsoft Power BI or other relevant technologies is a plus.


 Competitive salary and benefits package.
 Opportunity for career growth and advancement within a dynamic and collaborative team environment.
 Access to training and professional development resources to enhance skills and expertise.
 Flexible work schedule and remote work options.