Data Analyst

Collect, process, and analyze data to provide actionable insights that support business decisions.

Develop and maintain dashboards, reports, and data visualization tools to track key performance indicators (KPIs).

Work closely with cross-functional teams to identify data trends, patterns, and opportunities for process improvement.

Clean, validate, and interpret large datasets from multiple sources to ensure data accuracy and consistency.

Assist in developing predictive models and automation tools to enhance data-driven decision-making.

Present findings and recommendations to management and stakeholders in a clear, concise manner.

Requirements:

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.

Proven experience in data analysis, business intelligence, or similar analytical roles.

Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau.

Knowledge of Python or R for data processing and statistical analysis is an advantage.

Strong analytical, problem-solving, and communication skills.

Ability to work independently and handle multiple projects simultaneously.

Benefits:

Competitive salary with performance-based bonuses.

Opportunities for professional growth and advanced data training.

Collaborative and innovative work culture.

Flexible or hybrid working arrangements.