

Data Analytics Trainer No-code
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Trainer (No-code) for a 12-16 week freelance contract, starting September 2025. Pay is competitive. Key skills include Power BI, Python, SQL, and machine learning. Experience teaching adult learners is required. Remote work only.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
August 15, 2025
π - Project duration
3 to 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Fixed Term
-
π - Security clearance
Unknown
-
π - Location detailed
London
-
π§ - Skills detailed
#Statistics #Microsoft Power BI #Python #ML (Machine Learning) #SQL (Structured Query Language) #Pandas #Data Visualisation #Data Cleaning #BI (Business Intelligence)
Role description
Freelance Data Skills Trainer (No-code & Extended Programmes)
We're partnering with a leading digital skills training provider that specialises in upskilling professionals across Europe. They deliver high-quality, industry-relevant training in partnership with employers, helping individuals enhance their career prospects through practical, project-based learning.
They've recently launched two new Data Skills programmes aimed at professionals looking to expand their data capabilities.
The delegates are all corporate staff sponsored by their employers, and will range in experience / level (groups will be slit accordingly)
Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BIExtended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning
Course Format:
Full-time: 10-12 weeks, one weekday (09:00 - 17:30)
Evenings: 16 weeks, two evenings per week (18:00-21:00)
Contract Details:
β’ Start: September 2025
β’ Duration: 12 - 16 weeks (initial programme)
β’ Rates: Competitive (daily/hourly)
β’ Location: Remote (UK-based delivery)
Requirements:
β’ Hands-on commercial data experience (Power BI, Python, SWL, Machine Learning)
β’ Experience teaching adult learners or apprentices (Level 4-7)
β’ Ability to relate topics to real-world scenarios
β’ Strong communication and facilitation skills
If you've got real-world data experience and love sharing your knowledge, please click APPLY!
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Freelance Data Skills Trainer (No-code & Extended Programmes)
We're partnering with a leading digital skills training provider that specialises in upskilling professionals across Europe. They deliver high-quality, industry-relevant training in partnership with employers, helping individuals enhance their career prospects through practical, project-based learning.
They've recently launched two new Data Skills programmes aimed at professionals looking to expand their data capabilities.
The delegates are all corporate staff sponsored by their employers, and will range in experience / level (groups will be slit accordingly)
Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BIExtended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning
Course Format:
Full-time: 10-12 weeks, one weekday (09:00 - 17:30)
Evenings: 16 weeks, two evenings per week (18:00-21:00)
Contract Details:
β’ Start: September 2025
β’ Duration: 12 - 16 weeks (initial programme)
β’ Rates: Competitive (daily/hourly)
β’ Location: Remote (UK-based delivery)
Requirements:
β’ Hands-on commercial data experience (Power BI, Python, SWL, Machine Learning)
β’ Experience teaching adult learners or apprentices (Level 4-7)
β’ Ability to relate topics to real-world scenarios
β’ Strong communication and facilitation skills
If you've got real-world data experience and love sharing your knowledge, please click APPLY!
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.