

Sterlings
Data Analyst (ETL, SQL, Python) - Bank - 100k (12 Months Fixed Term)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (ETL, SQL, Python) at a bank, offering a 12-month fixed-term contract with a pay rate of $100k. Key skills include ETL, SQL, Python, and Cloud technologies, with a focus on financial data management.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
454
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🗓️ - Date
November 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Greater London, England, United Kingdom
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🧠 - Skills detailed
#Data Warehouse #Cloud #"ETL (Extract #Transform #Load)" #Data Analysis #Python #SQL (Structured Query Language)
Role description
Are you an experienced Data Analyst with a passion for solving business problems? Our client is a full service Investment Bank and is seeking a technical candidate with strong communication skills to kick off the build of ETL pipelines for the firms management of financial data.
The role sits in a central business change team who are currently manually collating and managing data for the CIB. The plan is for this person to automate ingesting and processing financial data, as well as developing, managing and enhancing the core data warehouse and data models, creating a foundation for internal reporting and analytics.
The role is highly visible across the CIB and the successful candidate will gain excellent exposure to multiple senior stakeholders.
You must have strong skills in ETL, SQL and ideally Python plus exposure to Cloud technologies.
The client operate a hybrid working set up but you must be willing and able to work in London (City) as required.
Are you an experienced Data Analyst with a passion for solving business problems? Our client is a full service Investment Bank and is seeking a technical candidate with strong communication skills to kick off the build of ETL pipelines for the firms management of financial data.
The role sits in a central business change team who are currently manually collating and managing data for the CIB. The plan is for this person to automate ingesting and processing financial data, as well as developing, managing and enhancing the core data warehouse and data models, creating a foundation for internal reporting and analytics.
The role is highly visible across the CIB and the successful candidate will gain excellent exposure to multiple senior stakeholders.
You must have strong skills in ETL, SQL and ideally Python plus exposure to Cloud technologies.
The client operate a hybrid working set up but you must be willing and able to work in London (City) as required.






