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

Ntuc Club

Ntuc Club company logo

Become the data architect and narrative force we need. You'll engineer our data pipeline, transform raw data into actionable insights, and shape a data-driven culture across the organization. In this hands-on role, you'll wear multiple hats, building the foundation for data-powered decisions and crafting compelling narratives for diverse audiences.


Data Architect & Builder

  • Conceptualize and build the data lake infrastructure, choosing and setting up robust tools and processes.
  • Collaborate with external vendors to ensure smooth data ingestion and integration.
  • Monitor and optimize the data lake, maintaining data quality and accessibility.

Data Whisperer & Analyst

  • Translate business needs into actionable data requests through close collaboration with stakeholders.
  • Conduct independent data analysis, uncovering hidden insights through established tools and techniques.
  • Develop insightful dashboards and reports, clearly communicating data findings to different audiences.

Data Champion & Evangelist

  • Champion data-driven decision-making throughout the organization.
  • Train and empower others to interpret and utilize data effectively.
  • Stay at the forefront of data trends and technologies, proposing and implementing advancements.

Requirements:

  • Bachelor degree in Computer Science, Statistics, Data Science, or a related field.
  • 2 to 5 years of experience in data analysis and reporting, with a proven track record of success.
  • In-depth technical knowledge: proficient in SQL, data warehousing and lake technologies, scripting languages (e.g., Python, R), and data visualization tools.
  • Project management skills: able to plan, execute, and deliver projects from start to finish.
  • Strong communication and presentation skills: both written and verbal, with the ability to connect with diverse audiences.
  • Problem-solving and analytical skills: able to identify data anomalies, troubleshoot issues, and find creative solutions.
  • Strong work ethic and a passion for data: driven by the desire to unlock its potential and empower others.
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