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Job Title:  Data Analyst (Fresher Jobs)

Organisation: Webale Tech Solutions Limited

Duty Station:  Kampala, Uganda

About US:

Webale Tech Solutions Limited is a pioneer in AI and a leading technology company. We are at the forefront of technological innovation, providing cutting-edge solutions to businesses across industries. Our mission is to empower organizations with technology, enabling them to achieve unprecedented levels of efficiency and growth.

Job Summary:   We are looking for a meticulous and insightful Data Analyst to join our team. The ideal candidate will possess a blend of analytical skills, a passion for digging into data to uncover insights, and the ability to communicate findings effectively to influence business decisions. As a Data Analyst at Webale, you will play a crucial role in analysing performance indicators, highlighting trends, and recommending strategies for improvement.

Key Duties and Responsibilities:

• Collect, process, and perform statistical analyses on large datasets to identify trends, patterns, and insights.
• Work closely with stakeholders across the organization to understand their data analysis needs and deliver actionable insights.
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Create visualizations and reports that effectively communicate trends, patterns, and predictions using relevant data.
• Monitor analytics and metrics results, performing regular audits to ensure data accuracy.

Qualifications, Skills and Experience:

• The applicant must hold a Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Proven experience as a Data Analyst or in a similar role.
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficiency in statistical software (e.g., R, SAS) and database languages (e.g., SQL).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning techniques is a plus.
• Excellent written and verbal communication skills, with the ability to present data in a clear and compelling manner.

How to Apply:

All suitably qualified and interested candidates should fill in the form at the link address below.

Click Here

Deadline: 23rd March 2024.

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