Data Analyst (Retail)

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What does a Data Analyst (Retail) do?


Data is essential in helping businesses understand their consumer base. Having access to real-time analytics on the performance of the business is important, especially in current times where consumer demands are constantly changing and competition in the market is increasing. Data Analysts in the retail industry is thus essential so that comprehensive analytics can be used to optimise business operations and revenue through identification of trends and predictions by data gathering, cleaning and organising.

Kickstart your journey to becoming a Data Analyst in the retail industry through our SkillsFuture Career Transition Programme! The training courses are designed to help learners acquire industry-relevant skills that can improve employability. You will also benefit from employment facilitation efforts from NTUC LearningHub.

Career Support

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Career Agility Hub

Enjoy access to NTUC LHUB’s Career Agility Hub (CAH) throughout the SCTP programme. This recruitment platform offers over 100,000 jobs across sectors and levels, along with updates on job fairs and industry events.

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Continued Career Support

Tap on career coaching and placement support services provided by NTUC LHUB and its network of partners. Additionally, enjoy continued access to CAH and receive announcements of curated jobs and job fairs via email.

Pre-requisites

  • Singapore Citizens, Singapore Permanent Residents, and holders of Long-term visit Pass-plus (“LTVP+ Holders”) who are aged 21 years old and above
  • Committed to completing the programme
  • Minimum NITEC qualification
Functional / Technical Competencies​

  • Be able to speak, listen, read and write English at a proficiency level equivalent to the Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 5
  • Be able to manipulate numbers at a proficiency level equivalent to ES WSQ Workplace Numeracy (WPN) Level 6
  • Good computer literacy and excel skills
Generic Competencies​

  • Experience in good interpersonal, verbal and written communication skills
  • Displays willingness to learn and advance in technical skillsets and knowledge
  • Strong communication skills and problem solving skills
  • Maintains high integrity and displays reliability
  • Committed to complete the programme
Selection Criteria

  • Interested participants should apply for the programme and submit their resume
  • Shortlisted candidates will be contacted

Training Methodology

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Classroom Training

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Group Discussion

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Presentation & Practical Activity

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Video Presentation

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Role Play

Duration & learners' schedule

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Total duration: 10 days / 1.5 months

This programme is offered as a full-time programme. Trainees have up to 3 months to complete their chosen programme.

List of Courses to Attend

As part of this programme, learners must attend the following courses:
  • Identify the appropriate data analytics approach to meet business goals.
  • Appraise tasks and apply methods to generate, collect and collate analytics reports.
  • Apply data analytics tools and technology to perform routine analytics and reports to understand customer activities and behaviours.
  • Apply spreadsheet methodologies in performing tasks related to data analytics, metrics, measurements and data entry.
  • Gather information to evaluate the effectiveness of the data analytics tool and technology used.
  • Get an overview of what Data Analytics is about.
  • Learn the adequate skills and knowledge in performing routine analytics to understand customer activities and behaviours across all digital platforms.
  • Learn to link and model data in Power BI desktop client and create visual reports that reveal data insights and trends.
  • Identify root causes and underlying factors of problems or situations and deduce relevant linkages and patterns to identify key impact on systems and processes.
  • Collect data on customer behaviours and characteristics based on established research frameworks and historical data.

Certifications

Participants will be awarded with a Certificate of Completion from NTUC LearningHub.

 

 

Course Fee and Government Subsidies
SCTP – Data Analyst

 

Before GST

After GST*

Full Course Fee

 $3,200.00

 $3,488.00

Singapore Citizens and Singapore Permanent Residents aged 21 years and above 1 (70% funding)

 $960.00

 $1,046.40

Singapore Citizens aged 40 years and above 2 (after 90% funding)

 $320.00

 $406.40

Singapore Citizens eligible for Additional Funding Support 3 (after 95% funding)

 $160.00

 $246.40

*GST payable for all funding-eligible applicants: $86.40 (As per SSG’s policy, the GST payable is calculated based on prevailing rates of 9% after the baseline funding subsidy of 70%)

  1. Base Subsidy - Eligible Singapore Citizens and PRs aged 21 years and above can enjoy subsidies up to 70% of the course fee. 
  2. Mid-career Enhanced Subsidy (MCES) – Eligible Singapore Citizens aged 40 and above can enjoy subsidies up to 90% of the course fee.  
  3. Additional Funding Support (AFS)- Eligible Singapore Citizens that meet at least one of the following eligibility criteria can enjoy subsidies up to 95% of the course fee:
    1. Long-term unemployed individuals (unemployed for six months or more); or
    2. Individuals in need of financial assistance – ComCare Short-to-Medium Term Assistance (SMTA) recipients or workfare Income Supplement (WIS) recipients; or
    3. Persons with Disabilities

Funding Eligibility Criteria

  1. Trainee must be a Singapore Citizen, Singapore Permanent Resident, or LTVP+ Holder aged 21 years old and above
  2. From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.​
  3. Trainee must achieve at least 75% attendance for each module
  4. Trainee must pass all prescribed tests / assessments and attain 100% competency
  5. NTUC LearningHub reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

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