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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Data Analyst
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Data Analyst

Cdg Zig Pte. Ltd.

Cdg Zig Pte. Ltd. company logo

Job Responsibilities:

  • Based on BU requirements to design, develop & maintain data marts
  • Ensure data quality and integrity by implementing appropriate data governance and data management practices.
  • Work closely & collaborate with IT teams & Data Engineers to optimize BI infrastructure, ensuring scalability and performance.
  • To conduct in-depth data analysis using advanced statistical and analytical techniques to derive actionable insights and make data-driven recommendations.
  • To support business decision making which have identifying trends, patterns & correlations
  • Develop and present comprehensive reports and dashboards that provide meaningful insights to stakeholders.
  • Work closely & collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into data analytics solutions
  • Effectively communicating complex information in a clear and concise manner while present findings and insights to senior management and key stakeholders

Requirements:

  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related discipline
  • Min 6 months of relevant work experience (Intern experiences can be consider)
  • Expertise in data analytics, business intelligence, and data visualization tools and technologies.
  • Good knowledge of statistical analysis, data modelling, and data mining techniques.
  • Familiarity with at least one programming languages such as Python or R & proficiency in SQL
  • Knowledge in cloud environment: AWS/ Azure/ GCP
  • Proficiency on using Tableau & Power BI on creating dashboard
  • Having good analytical, problem-solving, and critical-thinking skills.
  • Comfortable to present complex information to both technical and non-technical stakeholders (Good in Communication & Presentation skill)
  • Demonstrated business acumen and ability to understand and align data analytics initiatives with organizational goals.

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