We’re looking for a highly analytical and detail-oriented Data Analyst to transform raw data into meaningful insights that guide decision-making. The ideal candidate will collect, interpret, and present data to support business strategies, ensuring accuracy, clarity, and actionable outcomes.

• Collect, clean, and organize large datasets from multiple sources
• Perform statistical analysis to identify trends, patterns, and anomalies
• Develop reports, dashboards, and visualizations to communicate findings
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions
• Ensure data integrity, security, and compliance with company standards
• Support decision-making by providing actionable insights and recommendations
• Monitor and evaluate data processes for continuous improvement

What we Offer:

• Opportunities for continuous learning and career growth
• Flexible work setup and competitive compensation
• Access to modern tools, technologies, and resources
• A collaborative and innovative work environment
• Clear performance goals and regular feedback sessions

• Education:
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field (Master’s is a plus)
• Proficiency in SQL, Excel/Google Sheets, and at least one programming language (Python, R)
• Experience with data visualization tools (Tableau, Power BI, or similar)
• Strong statistical and analytical skills with attention to detail
• Excellent problem-solving and critical thinking abilities
• Ability to present complex information in a clear, concise, and visual manner
• Strong time management and ability to meet deadlines in a fast-paced environment

Technical Skills:

• Proficiency in Microsoft Excel/Google Sheets for data manipulation and reporting.
• Strong knowledge of SQL for database querying.
• Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
• Familiarity with statistical analysis tools and programming languages such as Python (pandas, NumPy, matplotlib, seaborn) or R.
• Understanding of data cleaning, transformation, and validation processes.
• Basic knowledge of machine learning concepts is a plus.
• Experience with ETL processes, data pipelines, or cloud platforms (AWS, GCP, Azure) is an advantage.

Soft Skills:

• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy in data handling.
• Ability to communicate findings clearly to both technical and non-technical audiences.
• Good time management and ability to work on multiple projects simultaneously.
• Strong collaboration skills to work effectively with cross-functional teams.
• Commitment to data confidentiality, integrity, and security.

Experience:

• 1–3 years of professional experience in data analysis, reporting, or a related field (entry-level candidates with strong skills may also apply).