ARvantage

Data Analyst (Entry-level/Assistant-level) Role Description The Data Analyst (Entry-level/Assistant-level) supports the organization by transforming raw information into clear, meaningful insights that help guide operational and strategic decisions. This role focuses on collecting data from various sources, preparing clean datasets, organizing information systematically, and conducting basic analyses to identify patterns and trends. Responsibilities include updating reports, preparing dashboards, validating data accuracy, and assisting with routine analytical tasks. The analyst works closely with cross-functional teams to understand data needs, ensure consistency across systems, and provide timely, well-structured outputs. With a strong emphasis on accuracy, curiosity, and analytical thinking, the Data Analyst helps maintain a reliable foundation of information that supports continuous improvement and informed decision-making. Qualifications • Understanding of core data analysis concepts, including data cleaning, dataset preparation, and fundamental statistical ideas. • Proficiency with tools such as Excel, SQL, Python, R, or business intelligence platforms. • Ability to interpret quantitative information and present insights in clear and understandable formats. • Strong organizational skills, attention to detail, and a structured approach to handling large volumes of information. • Ability to validate data accuracy, spot irregularities, and maintain consistent documentation. • Effective communication skills for collaborating with technical and non-technical teams. • Commitment to analytical rigor, continuous learning, and producing high-quality data outputs.