NTUC LearningHub – Senior Data Analyst

• Perform data requirement gathering, analysis and documentation
  • Interpret use case requirement and design of target data model/ data mart
  • Interpret data, analyze results using statistical techniques and provide ongoing reports by stakeholders
  • Set up and implement enhancements to automate and simplify data reporting process
  • Train and support users in using the reporting tools
  • Maintain the data warehouse system to ensure system performance
  • Troubleshoot, debug when data is found to be inaccurate
• Work Functions, Key Tasks
  • Work with management and stakeholders to prioritize business and information needs
  • Transform business requirement to data requirement, data analysis and profiling
  • Design data models for use cases and data warehousing
  • Perform data cleaning and ensure data quality and integrity in data warehouse
  • Root cause analysis of data issues and coming up with stable long terms solutions
  • Support data store’s inbound and/or outbound development
  • Perform data acceptance testing
  • Support SIT and UAT
• Key Performance Expectations
  • Implement and build a reliable data warehouse which meets the business needs of all stakeholders and according to data warehouse architecture guidelines
  • Identify data from different source systems and build the target data models
  • Ensure business rules and data definition are standardised across users and reports/dashboards
  • Produce professional quality reports, presentations and analysis with insights
  • Responsible for business analysis, user coordination and some implementation of business initiatives
  • Perform data analysis and compile daily, weekly and monthly user reports
  • Ensure company’s data policy, data security standard and data governance guidelines are adhered to

Qualifications

• Have a minimum of 3-5 years working experience in Singapore.
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with visualization tools (Qliksense, Tableau, Power BI etc), databases (MSSQL, MYSQL etc), programming (SQL, Python, Java, R)
• Running and maintaining large ETL/ELT jobs to ingest and process data
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Preferably have statistical skills