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Fresher Data Analyst Jobs – Webale Tech Solutions Limited
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.
Deadline: 23rd March 2024.
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