Bachelor’s degree, diploma, or equivalent qualification in Data Analytics, Business Analytics, Statistics, Mathematics, Computer Science, Information Technology, Economics, Finance, or a related field.
Strong understanding of basic data analysis principles and analytical thinking.
Familiarity with Microsoft Excel, Google Sheets, or similar spreadsheet applications.
Understanding of formulas, functions, pivot tables, data filtering, sorting, and basic data validation.
Familiarity with data visualization concepts and tools such as Power BI, Tableau, Looker Studio, or equivalent platforms.
Basic knowledge of SQL and relational database concepts.
Familiarity with Python, R, or another analytical programming language is advantageous.
Ability to identify patterns, trends, inconsistencies, and relationships within datasets.
Strong attention to detail when reviewing, cleaning, organizing, and validating data.
Ability to prepare clear reports, dashboards, charts, and analytical summaries.
Strong written and verbal communication skills with the ability to explain data findings clearly.
Ability to translate business questions into structured analytical tasks and meaningful insights.
Strong problem-solving skills and a logical approach to investigating data-related issues.
Ability to manage multiple reporting requests while maintaining accuracy and meeting deadlines.
Understanding of data privacy, confidentiality, and responsible data-handling principles.
Ability to learn new analytical tools, reporting platforms, and business systems quickly.
Strong organizational skills and the ability to maintain accurate documentation and reporting records.
Ability to collaborate effectively with business, operations, finance, technology, and other internal teams.
Proactive mindset with a genuine interest in using data to improve processes, performance, and decision-making.
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