Entry Level Data Analyst

<p><strong>Job Summary</strong></p><p><br></p><p>We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate should have a basic understanding of data analysis, SQL, Excel, and data visualization tools. This is an excellent opportunity for fresh graduates to develop their analytical skills and gain hands-on experience working with real-world datasets and business problems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, validate, and organize data from multiple sources.</li><li>Analyze datasets to identify trends, patterns, and meaningful business insights.</li><li>Write basic SQL queries to retrieve, filter, and manipulate data.</li><li>Use Microsoft Excel to perform data analysis, create reports, and manage datasets.</li><li>Create dashboards and visual reports using Power BI or Tableau.</li><li>Assist in preparing daily, weekly, and monthly reports for business teams.</li><li>Identify data inconsistencies and support data quality improvement initiatives.</li><li>Collaborate with cross-functional teams to understand business requirements.</li><li>Document analysis processes, findings, and reporting procedures.</li></ul><p><br></p><p><strong>Required Skills</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, or a related field.</li><li>Basic knowledge of SQL and relational databases.</li><li>Good working knowledge of Microsoft Excel, including formulas, sorting, filtering, and pivot tables.</li><li>Basic understanding of data visualization tools such as Power BI or Tableau.</li><li>Familiarity with Python and libraries such as Pandas and NumPy is an advantage.</li><li>Strong analytical, problem-solving, and logical-thinking abilities.</li><li>Good communication skills and attention to detail.</li><li>Willingness to learn new technologies and work with large datasets.</li></ul><p><br></p><p><strong>Preferred Qualifications</strong></p><ul><li>Academic projects or internships involving data analysis.</li><li>Basic understanding of data cleaning, data transformation, and statistical concepts.</li><li>Familiarity with reporting, dashboards, and key performance indicators (KPIs).</li></ul><p><br></p>

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