Data Analyst

Description:

1. 
   
   Data Transformation and Cleansing:
   • Utilize advanced techniques to transform and cleanse raw data from Excel spreadsheets.
   • Ensure data accuracy, consistency, and completeness through rigorous validation and cleaning processes.
   • Collaborate with stakeholders to understand data requirements and refine data transformation workflows accordingly.
2. 
   
   BI Dashboard Development:
   • Develop interactive and visually appealing BI dashboards using tools such as Power Query and BI.
   • Design intuitive dashboards that enable stakeholders to easily interpret complex datasets and derive actionable insights.
   • Customize dashboards to meet the specific needs of various departments and stakeholders within the organization.
3. 
   
   Data Analysis and Interpretation:
   • Conduct in-depth analysis of transformed data to identify trends, patterns, and correlations.
   • Translate analytical findings into actionable recommendations that support strategic decision-making.
   • Present analysis results and insights to stakeholders in a clear and understandable manner.
4. 
   
   Continuous Improvement:
   • Stay updated on the latest trends and best practices in data analysis, transformation, and BI dashboard development.
   • Proactively identify opportunities to enhance existing processes and workflows for greater efficiency and effectiveness.
   • Collaborate with team members to implement improvements and drive continuous enhancement of data analytics capabilities.

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in data analysis, transformation, and BI dashboard development.
• Proficiency in Microsoft Excel, including advanced functions and formulas.
• Strong understanding of Power Query and BI tools (e.g., Power BI, Tableau, etc.).
• Excellent analytical and problem-solving skills, with keen attention to detail.
• Effective communication skills, with the ability to present complex information in a clear and concise manner.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Prior experience working with large datasets and handling sensitive/confidential information is a plus.

Conditions:

If you are passionate about turning raw data into actionable insights and thrive in a dynamic and collaborative environment, we encourage you to apply for this exciting opportunity.