Job Description
Responsibilities:
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.
Requirements:
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.
Benefits:
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.