Kerja Sepenuh Masa, Junior Data Analyst di MoMo From MTN ZM - Maukerja

The Junior Data Analyst is responsible for supporting data collection, processing, analysis, and reporting activities that help organizations make informed, data-driven decisions. This role focuses on transforming raw data into meaningful insights that support business performance, operational efficiency, and strategic planning.

The position involves gathering data from multiple sources, ensuring accuracy, cleaning and organizing datasets, and preparing them for analysis. The Junior Data Analyst works closely with business, finance, or operations teams to understand reporting requirements and deliver relevant insights.

A key responsibility includes creating and maintaining reports, dashboards, and visualizations that track key performance indicators (KPIs), trends, and business metrics. The role helps stakeholders interpret data and identify patterns, opportunities, and areas for improvement.

The Junior Data Analyst also performs basic statistical analysis, data validation, and trend analysis to support decision-making. This may include working with spreadsheets, databases, and business intelligence tools to analyze structured and unstructured data.

In addition, the role supports data quality management by identifying inconsistencies, correcting errors, and improving data integrity across systems. The analyst contributes to building reliable datasets that support long-term reporting and analytics needs.

The position may also assist in automating reporting processes, improving data workflows, and supporting ad-hoc analysis requests from different departments. Strong attention to detail and logical thinking are essential for success in this role.

The Junior Data Analyst plays an important role in enabling organizations to make informed decisions by providing accurate, timely, and actionable insights derived from data.

• Strong analytical and quantitative skills.
• Basic understanding of data analysis concepts and methodologies.
• Proficiency in Excel or spreadsheet tools for data manipulation.
• Familiarity with data visualization tools (e.g., Power BI, Tableau, or similar).
• Understanding of basic statistics and data interpretation.
• Ability to clean, organize, and analyze datasets.
• Strong attention to detail and commitment to accuracy.
• Ability to identify trends, patterns, and insights from data.
• Basic knowledge of SQL or databases is a plus.
• Excellent written and verbal communication skills.
• Ability to present findings clearly to non-technical stakeholders.
• Strong problem-solving and logical thinking abilities.
• Ability to manage multiple tasks and deadlines.
• Willingness to learn new tools, technologies, and analytical methods.
• Interest in data analytics, business intelligence, and decision-making support.