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Data Analyst
Location
HO/ Corporate Building - 3rd Floor
Closing Date
08/31/2026
Description

Job Purpose

We are seeking a dynamic and analytical Data Analyst to join our team. This role is responsible for transforming data into actionable insights that drive strategic decision-making and business growth. You will work closely with cross-functional teams to analyze data, develop dashboards, and support data-driven initiatives across the organization.

The Job

  • Collect, clean, and analyze data from internal and external sources
  • Perform exploratory data analysis, hypothesis testing, and statistical modeling
  • Develop dashboards and reports using visualization tools (e.g., Tableau)
  • Present insights and recommendations to stakeholders and senior management
  • Provide business metrics and track performance against key KPIs
  • Monitor and evaluate the effectiveness of campaigns and initiatives
  • Identify trends, patterns, and opportunities for business improvement
  • Identify opportunities to leverage data for business growth and optimization
  • Design and implement data-driven use cases and experiments
  • Collaborate with business units to develop analytical solutions
  • Enhance and maintain analytics systems and models
  • Track performance of predictive models and recommend improvements
  • Measure ROI and impact of analytics initiatives
  • Work closely with internal stakeholders to understand business needs
  • Conduct consultative sessions and share insights for better decision-making
  • Support cross-functional teams in executing analytics-driven projects
Entry Requirements

The Person

  • Bachelor’s degree in Data Science, Computer Science, IT, Statistics, Economics, or a related field
  • Strong knowledge of:
    • SQL, Python, or R
    • Data visualization tools (e.g., Tableau)
    • Statistical analysis and data modeling
  • Experience with cloud platforms (AWS, GCP) is an advantage
  • Strong analytical and problem-solving skills
  • Ability to translate complex data into clear business insights
  • Excellent communication and stakeholder management skills
  • Attention to detail and commitment to data quality
Key Skills
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