Data Analyst (Entry-Level / Junior)

Role Description & Qualifications

We are seeking a detail-oriented and analytical Data Analyst to support data collection, analysis, and reporting activities across business functions. This role is ideal for candidates who are eager to develop strong analytical skills and gain hands-on experience in transforming data into meaningful insights that support decision-making and business performance.

Responsibilities

• Collecting, cleaning, and organizing datasets from multiple sources to ensure accuracy, consistency, and usability.
• Analyzing data trends, generating reports, and creating visualizations that help stakeholders understand key business metrics and performance indicators.
• The candidate will work closely with teams across the organization to support data-driven decisions and improve operational efficiency.
• Preparing dashboards and reports.
• Conducting basic statistical analysis.
• Identifying trends and anomalies in data.
• Supporting ad-hoc data requests.
• Maintaining data documentation.
• Assisting with data quality checks.
• Ensuring that datasets are structured and reliable for analysis.
• The analyst may also contribute to improving reporting processes and supporting automation of routine data tasks.

Qualifications

• The ideal candidate possesses strong analytical thinking, attention to detail, and a solid foundation in working with data.
• Proficiency in spreadsheets and basic data analysis tools is highly desirable.
• Familiarity with data visualization tools, SQL, or statistical concepts is considered an advantage.
• Strong communication skills are important, with the ability to present findings clearly and concisely to both technical and non-technical audiences.
• The candidate should demonstrate curiosity, problem-solving ability, and a structured approach to working with large and complex datasets.
• A degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems, or a related field is preferred.
• The successful candidate demonstrates adaptability, eagerness to learn, and a strong interest in data analysis, business intelligence, and evidence-based decision-making in a collaborative environment.