Data Analyst
@ RBS

Bristol, England, United Kingdom
£60,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @rbs.com
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Job Details

Data Analyst at RBS

Join us as a Data Analyst in a cutting edge data team at RBS. In this role, you will manage the analysis of complex bank, franchise or function data to identify business issues and opportunities. You will deliver high quality analytical input to help develop and implement innovative processes and resolve problems across the bank.

What You'll Do

  • Perform data extraction, storage, manipulation, processing and analysis.
  • Develop standard queries to ensure data quality and identify inconsistencies.
  • Collect, profile and map data for new or existing solutions.
  • Identify and document data migration paths and processes.
  • Interpret customer needs into functional or data requirements.
  • Build collaborative partnerships with key business stakeholders.

The Skills You'll Need

  • Experience with data analysis tools in a technology or IT function.
  • In-depth understanding of data interrelationships and multiple data domains.
  • Background in research with qualitative and quantitative insights.
  • Excellent communication, documentation and presentation skills.
  • Hands-on experience with SQL based systems such as Oracle and Snowflake.
  • Strong knowledge in Banking and Finance, including ISO20022 and payment journeys.
  • Proficiency in Python and AWS cloud services such as S3, Athena, and parquet file formats.

Key Skills/Competency

  • Data Analysis
  • SQL
  • Python
  • AWS
  • Banking
  • Finance
  • Data Extraction
  • Data Quality
  • Problem Solving
  • Stakeholder Management
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How to Get Hired at RBS

🎯 Tips for Getting Hired

  • Customize your resume: Highlight analytical tools and SQL expertise.
  • Research RBS: Understand the bank's culture, products, and innovation.
  • Emphasize projects: Detail data extraction and AWS cloud experience.
  • Prepare for interviews: Practice data analysis and banking scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python data manipulation scripts.
Familiarize with AWS S3 and Athena usage.
Study data modelling and migration documentation.

Behavioral Questions

Describe a challenging data project you handled.
Explain stakeholder collaboration experiences succinctly.
Discuss your problem solving approach in brief.
Share examples of presenting complex data simply.

Frequently Asked Questions