alphayotta
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst contract for "X" months, offering a pay rate of "X" per hour. Key skills include mortgage pricing experience, BI tools, data analysis, and data accuracy. Work location is "X".
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Analysis #BI (Business Intelligence) #Data Accuracy
Role description
Mortgage pricing experience is mandatory
Resource is essential to provide direct support for treasury, finance, pricing mortgage, and wider banking programs while ensuring close alignment with UK business priorities and regulatory requirements.
The resource required will perform:
- Engage with business stakeholders to gather reporting requirements, understand KPIs, and translate business needs into analytical solutions.
- Design, build, and maintain interactive dashboards and visual reports using BI tools to support operational and strategic decision-making.
- Analyze business, customer, and operational data to identify trends, risks, and opportunities for improvement.
- Develop automated reporting processes, data models, and performance scorecards to improve efficiency and data accuracy.
Mortgage pricing experience is mandatory
Resource is essential to provide direct support for treasury, finance, pricing mortgage, and wider banking programs while ensuring close alignment with UK business priorities and regulatory requirements.
The resource required will perform:
- Engage with business stakeholders to gather reporting requirements, understand KPIs, and translate business needs into analytical solutions.
- Design, build, and maintain interactive dashboards and visual reports using BI tools to support operational and strategic decision-making.
- Analyze business, customer, and operational data to identify trends, risks, and opportunities for improvement.
- Develop automated reporting processes, data models, and performance scorecards to improve efficiency and data accuracy.
