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Data Analyst

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Onsite

Data Analyst

Capgemini Hong Kong Limited

Data Analyst

Skills

Google Cloud PlatformSQL QueriesLookerTableauData MiningPythonData VisualizationRData AnalysisAWSCompliancePower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Hong Kong

Work mode:

Onsite

Published on:

26 August 2026

What they need


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.

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