BI Analyst Retention- £50-56k

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a BI Analyst focused on customer retention, offering a 12-month hybrid contract at £50-56k, based in central London. Key skills include SQL, Python, and BI tools like Tableau/Qlik, with experience in data pipelines and lifecycle analysis required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
448
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#Data Pipeline #R #Scala #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Strategy #Tableau #Datasets #Python #SaaS (Software as a Service) #BI (Business Intelligence) #Databases #Qlik
Role description
Our global SaaS Client are now seeking an experienced BI Analyst to join their team with a focus on customer retention. This role is a unique opportunity to transform reporting, build behavioural analytics, and work across the whole ecosystem lifecycle. You will be able to work with large databases and cutting-edge tech stacks - you will use SQL/Python and BI tools (such as Tableau/Qlik) to mine, synthesize, and visualise data and influence work across a range of stakeholders. This is a 12 month contract, hybrid role with 3 days/week in the offices in central London Responsibilities • Support the analytics needs of the business by building automated scalable reporting solutions focused on customer retention. • Create holistic dashboards by combining data from both internal and external data sources • Identify gaps in the data capture strategy related to customer behaviour and collaboratively implement enhancements. • Go one step further and provide actionable insights and recommendations related to key customer retention measures. Qualifications • Previous experience working in data in a BI analyst role or similar, with a focus on customer retention or lifecycle analysis. • Strong ability analysing and combining large SQL datasets. • Nice to have: Business reporting tools such as Tableau and Qlik. Python/R. • Experience of working with and building data pipelines. Benefits • Long contract • Global company • Free breakfast on site