Data Analyst (Entry-Level / Junior)
Data Analyst (Entry-Level / Junior)Role DescriptionWe are seeking a detail-oriented and analytical Entry-Level Data Analyst to support data-driven decision-making, reporting, and business insights. This role is ideal for individuals who are passionate about working with data, identifying patterns, and transforming raw information into meaningful insights that support business performance and strategy.The Data Analyst will be responsible for collecting, cleaning, and organizing datasets from multiple sources, ensuring data accuracy and consistency. Responsibilities include performing basic data analysis, generating reports, building dashboards, and supporting teams with actionable insights to improve operational and strategic outcomes.The role also involves monitoring key performance indicators (KPIs), assisting in data validation processes, and supporting the development of automated reporting solutions. Candidates should demonstrate strong analytical thinking, attention to detail, and the ability to interpret data effectively.In addition, the Data Analyst will collaborate with cross-functional teams to understand reporting requirements, support data visualization efforts, and contribute to improving data quality and accessibility across the organization. Familiarity with analytical tools and a willingness to learn new technologies are essential.The ideal candidate is curious, proactive, and eager to grow in a data-focused environment. A strong interest in analytics, problem-solving, and continuous improvement is highly valued.QualificationsBachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Systems, Business Analytics, Finance, or a related field.Basic understanding of data analysis concepts, statistical methods, and reporting techniques. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization basics.Familiarity with SQL and data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms is an advantage. Basic knowledge of Python or R for data analysis is also beneficial.Strong analytical and problem-solving skills with the ability to interpret data and identify trends or patterns. Good written and verbal communication skills with the ability to present findings clearly and effectively.High attention to detail, strong organizational abilities, and the capacity to manage multiple tasks in a structured environment. Ability to work independently as well as collaboratively within a team-oriented setting.