- Hong Kong Hong Kong
Capgemini Hiring! Full Time Data Analyst in Hong Kong - Ricebowl
Working Location
Job Description
Responsibilities
Key Responsibilities
Gather, clean, validate, and analyze large datasets from multiple sources.
Develop and maintain reports, dashboards, and visualizations using business intelligence tools.
Identify trends, patterns, and actionable insights to support strategic and operational decisions.
Collaborate with business stakeholders to understand reporting requirements and key performance indicators (KPIs).
Perform data quality checks and ensure the accuracy and integrity of data.
Create ad hoc analyses and presentations to support business initiatives.
Translate complex data findings into clear and concise recommendations for non-technical audiences.
Monitor business performance metrics and identify improvement opportunities.
Support data governance and compliance initiatives.
Automate reporting processes to improve efficiency and reduce manual effort.
Required Qualifications
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
2+ years of experience in data analysis, reporting, or business intelligence.
Strong proficiency in SQL for data extraction and manipulation.
Experience with data visualization tools such as Power BI, Tableau, or Looker.
Advanced knowledge of Microsoft Excel.
Understanding of statistical analysis and data modeling concepts.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent communication and presentation skills.
Preferred Qualifications
Experience with programming languages such as Python or R.
Knowledge of data warehousing and ETL processes.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Experience working in Agile environments.
Relevant certifications in Power BI, Tableau, or data analytics.
Full-time
Gather, clean, validate, and analyze large datasets from multiple sources.
Develop and maintain reports, dashboards, and visualizations using business intelligence tools.
Identify trends, patterns, and actionable insights to support strategic and operational decisions.
Collaborate with business stakeholders to understand reporting requirements and key performance indicators (KPIs).
Perform data quality checks and ensure the accuracy and integrity of data.
Create ad hoc analyses and presentations to support business initiatives.
Translate complex data findings into clear and concise recommendations for non-technical audiences.
Monitor business performance metrics and identify improvement opportunities.
Support data governance and compliance initiatives.
Automate reporting processes to improve efficiency and reduce manual effort.
Required Qualifications
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
2+ years of experience in data analysis, reporting, or business intelligence.
Strong proficiency in SQL for data extraction and manipulation.
Experience with data visualization tools such as Power BI, Tableau, or Looker.
Advanced knowledge of Microsoft Excel.
Understanding of statistical analysis and data modeling concepts.
Strong analytical, problem-solving, and critical-thinking skills.
Excellent communication and presentation skills.
Preferred Qualifications
Experience with programming languages such as Python or R.
Knowledge of data warehousing and ETL processes.
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
Experience working in Agile environments.
Relevant certifications in Power BI, Tableau, or data analytics.
Full-time
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