Junior Data Analyst
Job Description
Manifold Computers is looking to hire a Junior Data Analyst at to supports the collection, cleaning, analysis, and interpretation of data to help the organization make informed business and operational decisions. The role assists in preparing reports, maintaining dashboards, identifying trends, and turning data into useful insights for different teams across the organization.
Salary: $250 – $300 monthly
Key Responsibilities
- Collect, organize, clean, and validate data from various internal and external sources.
- Assist with preparing reports, dashboards, and data visualizations for business and operational performance.
- Analyze data to identify trends, patterns, and areas that require attention or improvement.
- Support the preparation of regular and ad-hoc reports for management and relevant stakeholders.
- Work with different departments to understand their data and reporting requirements.
- Assist in translating business questions into basic analytical requirements.
- Ensure data is accurate, complete, consistent, and properly organized.
- Use Excel and other analytical tools to analyze and present data effectively.
- Write and maintain basic SQL queries to retrieve and analyze data from databases.
- Support forecasting, performance tracking, and business planning through data analysis.
- Assist with automating repetitive reporting and data-related tasks where possible.
- Document data processes, reports, and analytical findings for future reference.
Key Requirements
- Bachelor’s degree or HND in Statistics, Mathematics, Computer Science, Economics, Data Science, Information Technology, or a related field.
- 0–2 years of experience in data analysis, reporting, business intelligence, or a related role.
- Basic knowledge of Microsoft Excel, SQL, and data visualization tools such as Power BI or Tableau.
- Understanding of data cleaning, data analysis, reporting, and data interpretation.
- Strong analytical and problem-solving skills.
- Good attention to detail and accuracy.
- Ability to communicate data findings clearly and simply.
- Willingness to learn new analytical tools and technologies.
- Good organizational and time-management skills.
- Ability to work effectively with both technical and non-technical teams.
