Summary
Date Posted: Tuesday, March 19 2024, Base Salary: Not Disclosed

JOB DETAILS:
At Webale Tech Solutions Ltd, 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. As a company committed to excellence, we foster an environment of learning, collaboration, and innovation.

Join us, and be part of a team that’s shaping the future of technology;

POSITION: DATA ANALYST

Position Overview:
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 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:
• 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.
• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.

Work Hours: 8

Experience in Months: 12

Level of Education: Bachelor Degree

Job application procedure
Interested applicants Click here to apply 

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