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Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst (Customer Insights) in the banking sector, offering a 10-month contract at £600 per day. Key skills include SQL, advanced Excel, and experience in customer analytics. Remote work with occasional travel to Milton Keynes required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
627
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🗓️ - Date
July 11, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Milton Keynes, England, United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #CRM (Customer Relationship Management) #Microsoft Excel #AWS (Amazon Web Services) #Data Extraction #Cloud #BI (Business Intelligence) #ChatGPT #Data Analysis #Snowflake #Microsoft Power BI #Strategy #Data Engineering #Athena #"ETL (Extract #Transform #Load)" #Customer Segmentation #SQL (Structured Query Language) #Tableau
Role description
Senior Data Analyst (Customer Insights) | Banking Location: Remote with occasional travel to Milton Keynes Rate: £600 per day (Inside IR35) Duration: Initial 10-month contract We're looking for an experienced Senior Data Analyst to join a leading UK financial services organisation on an initial 10-month contract. This role is ideal for an analyst who thrives on turning complex customer data into meaningful insights that influence business decisions. You'll work closely with stakeholders to identify customer opportunities, build insightful reporting, and provide data-driven recommendations that shape strategy and improve business outcomes. This is an insight-led analytical role rather than a data engineering or data modelling position. The Role You'll be responsible for analysing customer and business data to uncover trends, identify opportunities and deliver clear, actionable recommendations. Working with business stakeholders across the organisation, you'll translate analytical findings into insights that drive customer engagement, commercial performance and strategic decision-making. Key Responsibilities • Analyse customer and business data to identify trends, opportunities and actionable insights. • Produce high-quality reports, dashboards and presentations that support business decision-making. • Identify and develop customer segmentation strategies to support targeted campaigns and business initiatives. • Partner with business stakeholders to understand challenges and translate requirements into analytical solutions. • Present complex analytical findings in a clear, engaging and commercially meaningful way. • Support continuous improvement of reporting and analytical processes using modern data tools. • Use AI tools to improve analytical productivity and streamline day-to-day workflows where appropriate. Essential Skills & Experience • Proven experience as a Data Analyst or Insight Analyst delivering business-focused analytical solutions. • Excellent SQL skills for data extraction, manipulation and analysis. • Advanced Microsoft Excel skills. • Strong experience producing business reports, dashboards and analytical insight. • Experience translating data into meaningful recommendations for non-technical stakeholders. • Strong stakeholder management and communication skills. • Demonstrable experience identifying customer trends, behaviours or segmentation opportunities. Desirable Experience • Experience within banking or financial services. • Customer analytics, CRM analytics, marketing analytics or customer insight experience. • Power BI or Tableau dashboard development. • Experience working with cloud-based data platforms such as Snowflake or AWS Athena. • Exposure to organisations transitioning from legacy reporting environments to modern cloud-based analytics platforms. AI & Modern Ways of Working We're particularly interested in candidates who actively use AI tools such as ChatGPT, Microsoft Copilot or Claude to enhance their day-to-day analytical work. You don't need to build AI solutions—we're looking for someone who embraces modern tools to improve efficiency, automate repetitive tasks and accelerate insight generation.