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
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💰 - 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