Owner

About the Role

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.

Key Responsibilities

• Collect, process, and analyze data.
• Develop and maintain dashboards, reports, and data visualization tools.
• Track key performance indicators (KPIs).
• Work closely with cross-functional teams.
• Identify data trends, patterns, and opportunities for process improvement.
• Clean, validate, and interpret large datasets.
• Assist in developing predictive models and automation tools.
• Present findings and recommendations to management and stakeholders.

Requirements & Tech Stack

• Proficiency in SQL.
• Proficiency in Excel.
• Proficiency in data visualization tools such as Power BI or Tableau.
• Knowledge of Python or R for data processing and statistical analysis is an advantage.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• Proven experience in data analysis, business intelligence, or similar analytical roles.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and handle multiple projects simultaneously.

Benefits include: Competitive salary with performance-based bonuses, opportunities for professional growth and advanced data training, collaborative and innovative work culture, and flexible or hybrid working arrangements.