

Tria
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with 3+ years of experience in a SaaS or technology environment, offering £40,000-£50,000 for over 6 months, hybrid in Central Bristol. Key skills include SQL, Python, data validation, and QA.
🌎 - Country
United States
💱 - Currency
£ GBP
-
💰 - Day rate
227
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🗓️ - Date
July 31, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bristol, England, United Kingdom
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Analysis #Data Integration #Python #Version Control #SaaS (Software as a Service) #GIT #Automation #"ETL (Extract #Transform #Load)" #Data Quality
Role description
Ensure you read the information regarding this opportunity thoroughly before making an application.
Hybrid | Central Bristol
£40,000-£50,000 + Bonus + Excellent Benefits
We're excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast-moving, well-funded, plenty of autonomy, and a collaborative culture that's committed to building innovative data products.
This is an excellent opportunity for someone who enjoys improving data quality, solving complex data challenges, automating processes, and working closely with both technical teams and customers to deliver accurate, trusted data.
A Typical Day-to-Day
Working across Engineering, Delivery and Customer Success, you'll take ownership of data quality across customer integrations, ensuring operational and financial data is accurate, consistent and reliable.
Responsibilities Include
Owning data quality across customer integrations, ensuring operational and financial data is accurate and consistent
Using SQL and Python to investigate data issues, automate quality checks, and improve validation processes
Working with Engineering to resolve data discrepancies and support platform integrations
Creating client reports, supporting customer onboarding, and helping resolve data-related queries
Documenting QA processes and driving best practice across the platform
We're Looking For
3+ years' experience as a Data Analyst in a SaaS, technology or enterprise environment
Strong SQL skills, with Python for automation and data analysis
Experience in data validation, QA and working with financial data
Excellent analytical skills and attention to detail
Confident working with both technical teams and customersNice to Have
Experience with any of the following would be an advantage:
SaaS or enterprise data environments
Data integration or ETL processes
Git or other version control tools
Familiarity with semantic layer tools such as Cube or LookM
Why Apply?
You'll be joining a highly collaborative team where your work directly influences product quality and customer success. This is a role where you'll have genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow
Ensure you read the information regarding this opportunity thoroughly before making an application.
Hybrid | Central Bristol
£40,000-£50,000 + Bonus + Excellent Benefits
We're excited to be recruiting exclusively for a Data Analyst to join a startup-style team within a global, data-driven organisation. Think fast-moving, well-funded, plenty of autonomy, and a collaborative culture that's committed to building innovative data products.
This is an excellent opportunity for someone who enjoys improving data quality, solving complex data challenges, automating processes, and working closely with both technical teams and customers to deliver accurate, trusted data.
A Typical Day-to-Day
Working across Engineering, Delivery and Customer Success, you'll take ownership of data quality across customer integrations, ensuring operational and financial data is accurate, consistent and reliable.
Responsibilities Include
Owning data quality across customer integrations, ensuring operational and financial data is accurate and consistent
Using SQL and Python to investigate data issues, automate quality checks, and improve validation processes
Working with Engineering to resolve data discrepancies and support platform integrations
Creating client reports, supporting customer onboarding, and helping resolve data-related queries
Documenting QA processes and driving best practice across the platform
We're Looking For
3+ years' experience as a Data Analyst in a SaaS, technology or enterprise environment
Strong SQL skills, with Python for automation and data analysis
Experience in data validation, QA and working with financial data
Excellent analytical skills and attention to detail
Confident working with both technical teams and customersNice to Have
Experience with any of the following would be an advantage:
SaaS or enterprise data environments
Data integration or ETL processes
Git or other version control tools
Familiarity with semantic layer tools such as Cube or LookM
Why Apply?
You'll be joining a highly collaborative team where your work directly influences product quality and customer success. This is a role where you'll have genuine ownership, exposure to complex technical challenges, and the opportunity to make a visible impact as the platform continues to grow





