

Nextech Group Limited
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst position on a 12-month FTC in Manchester, offering £26,000–£28,000 per annum. Key skills include SQL and Power BI; exposure to Azure Data Factory is beneficial. Focus is on data cleaning and maintenance.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
127
-
🗓️ - Date
February 5, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Manchester Area, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #SQL Queries #Datasets #BI (Business Intelligence) #Data Accuracy #Documentation #Microsoft Power BI #Azure Data Factory #Data Pipeline #ADF (Azure Data Factory) #Data Quality #Data Analysis #Azure
Role description
Data Analyst (12-Month FTC)
£26,000–£28,000 per annum
Manchester – Hybrid (3 days per week in office)
On behalf of our client in the IT industry, we are looking for a Data Analyst to join their team on a 12-month fixed-term contract, supporting a data tidy-up and improvement project.
This role is well suited to a graduate or early-career data professional with the right exposure who enjoys working on data quality, structure and maintenance rather than heavy analysis or stakeholder presentations.
The role:
You will be responsible for:
• Cleaning, structuring and maintaining existing datasets
• Writing and updating SQL queries to improve data accuracy and consistency
• Updating and maintaining Power BI dashboards (no presenting required)
• Supporting data pipelines and integrations (exposure to Azure Data Factory is desirable)
• Improving data quality, documentation and internal processes
What we’re looking for:
• Experience with SQL (commercial, placement, internship or university projects considered)
• Hands-on experience using Power BI
• Exposure to Azure Data Factory is beneficial but not essential
• Strong attention to detail and a methodical, organised approach
• Comfortable working on data clean-up, validation and maintenance tasks
• Not analysing data or presenting
What’s on offer:
• £26,000–£28,000 salary
• 12-month fixed-term contract
• Hybrid working: 3 days per week in the Manchester office
• A straightforward role focused on data housekeeping rather than analysis or presentations
If you’re looking to build practical, hands-on data experience within an IT environment, this is a great opportunity.
Data Analyst (12-Month FTC)
£26,000–£28,000 per annum
Manchester – Hybrid (3 days per week in office)
On behalf of our client in the IT industry, we are looking for a Data Analyst to join their team on a 12-month fixed-term contract, supporting a data tidy-up and improvement project.
This role is well suited to a graduate or early-career data professional with the right exposure who enjoys working on data quality, structure and maintenance rather than heavy analysis or stakeholder presentations.
The role:
You will be responsible for:
• Cleaning, structuring and maintaining existing datasets
• Writing and updating SQL queries to improve data accuracy and consistency
• Updating and maintaining Power BI dashboards (no presenting required)
• Supporting data pipelines and integrations (exposure to Azure Data Factory is desirable)
• Improving data quality, documentation and internal processes
What we’re looking for:
• Experience with SQL (commercial, placement, internship or university projects considered)
• Hands-on experience using Power BI
• Exposure to Azure Data Factory is beneficial but not essential
• Strong attention to detail and a methodical, organised approach
• Comfortable working on data clean-up, validation and maintenance tasks
• Not analysing data or presenting
What’s on offer:
• £26,000–£28,000 salary
• 12-month fixed-term contract
• Hybrid working: 3 days per week in the Manchester office
• A straightforward role focused on data housekeeping rather than analysis or presentations
If you’re looking to build practical, hands-on data experience within an IT environment, this is a great opportunity.






