Job Description:

We are seeking an enthusiastic and motivated Data Analytics Intern to assist
with gathering, compiling, and analyzing large sets of structured and
unstructured data using the latest industry-standard data analytic tools and
techniques. As part of the role, you will work on data mining, processing, and
modeling to create clear, easy-to-understand reports that identify
correlations, trends, and patterns, often through visual formats such as Power
BI dashboards.

Responsibilities and Duties:

• Collaborate with data analytics team to collect and refine data, ensuring results are usable and presentable.


• Support GFO management teams with data science, AI, analytics expertise, as well as the preparation of KPI reports and dashboards.


• Assist in automating data collection functions using Power BI dashboards solutions.


• Monitor and ensure data quality, addressing any corrupt datasets by removing or correcting them.


• Assist with the development and improvement of existing data analytics programs, contributing to the team's continuous improvement.

Qualifications:

• Personality: Open-minded, creative, and convincing individual with a strong
  willingness to learn, solid comprehension, and excellent communication
  skills. A self-starter who is analytically inclined, critical, open, and
  capable of questioning standard approaches.


• Working Method: High commitment and initiative, independent and goal-oriented working style.


• Experience and Know-How: Familiarity with database architectures, as well
  as skills in data selection, processing, analysis, and interpretation. Some experience in power BI dashboard with a solid understanding of
  statistics.


• Languages: Proficient in English (spoken and written).


• Education: A university student in Computer Science, Business Informatics, or a related field,


• Business Tools Proficiency: Experience with Power BI, Microsoft Office Suite
  (Excel, Word), and other business tools. Familiarity with database
  management and analytical tools is preferred.

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