Data Analyst
Jobberman · Egbedore, Osun State, Nigeria
Human Resources Services · 51-200 employees
About the role
The role involves cleaning and preprocessing raw data to perform statistical analysis and identify trends. The analyst will create interactive dashboards and visual narratives to support strategic business decision-making.
What they look for
Requirements
Candidates should have 0-2 years of experience and proficiency in SQL, Excel, and programming languages like Python or R. Experience with BI tools such as Power BI, Tableau, or Google Looker Studio is required.
Full description
Summary:
We are seeking a dynamic and detail-oriented Data Analyst (0-2 years of experience) to join our growing analytics team. In this role, you will play a key part in transforming raw data into actionable insights that drive strategic decision-making across the organization. You will be responsible for data cleaning, statistical analysis, and creating compelling visualizations that communicate complex information clearly and effectively. This position offers a unique opportunity to develop foundational skills in data analysis, business intelligence, and data storytelling while contributing to impactful projects. Your work will directly influence business performance, product improvements, and customer experiences.
Responsibilities:
- Perform data cleaning and preprocessing to ensure data accuracy, consistency, and readiness for analysis.
- Conduct statistical analysis to identify trends, patterns, correlations, and anomalies in datasets.
- Utilize SQL to extract, filter, and manipulate data from relational databases.
- Apply advanced Excel techniques and programming languages such as Python or R for data modeling and automation.
- Design and develop interactive dashboards using Power BI, Tableau, or Google Looker Studio to support data-driven decision-making.
- Translate data insights into clear, visually engaging narratives through charts, graphs, and reports.
- Collaborate with cross-functional teams to understand business needs and deliver relevant analytical solutions.
- Maintain data integrity and ensure compliance with organizational data governance standards.
