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Senior Executive, Data Analyst

Salary undisclosed

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Job Purpose

A talented and experienced Data Analyst to join our team. The ideal candidate will have a strong background in Business Intelligence (BI) and data visualization, with at least 2 years of hands-on experience. You will be responsible for transforming data into actionable insights that drive business decisions.

Job Responsibilities

  • Develop, implement, and maintain BI solutions to support business operations.
  • Create and manage dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar.
  • Analyze complex data sets to identify trends, patterns, and insights.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Involve in discussions and fact-findings with business users and stakeholders to understand, improve, prototype and implement analytics solutions.
  • Work closely with data engineers and external vendors to deliver data pipelines from source to BI platforms.
  • Ensure data accuracy and integrity by performing regular data quality checks.
  • Provide training and support to end-users on BI tools and reports.
  • Stay updated with the latest BI trends and technologies to continuously improve our data analytics capabilities.
  • Assist the analytics team in advocating for the usage & value of analytics in the organization.

Education / Professional Qualification

  • Bachelor’s degree in data science, Computer Science, Information Technology, or a related field. Minimum of 2 years of experience in data analysis and BI visualization.
  • Proficiency in BI tools such as Power BI, Tableau, or similar.
  • Strong SQL skills and experience with data warehousing concepts.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate complex data insights in a clear and concise manner.
  • Experience with programming languages such as Python or R is a plus.
  • Strong attention to detail and a commitment to data accuracy.
  • Experience with the property development industry would be an added advantage

Professional Experience

  • Experience with Data Visualization tools like Power BI, Tableau, QlikSense etc.
  • Experience with working with cloud platforms like AWS, Azure, or Google Cloud.
  • Knowledge of machine learning and predictive analytics would be an added advantage.
  • Familiarity with data governance and data security best practices would an added advantage.

Certifications

  • Added Advantage Power BI, Tableau or other related certifications.
  • Data analytics related certifications.
  • Microsoft Azure related certifications