AWS Data Analyst

Insight International (UK) Ltd; Milton Keynes; On-site; GBP 55,000 - 75,000; Full time

Job summary

Insight International (UK) Ltd in Milton Keynes is seeking a data analytics professional with a strong history in UK Retail Banking to analyze data, document data requirements, and translate business needs into technical specifications.

The role focuses on ETL processes, source-to-target mappings, and collaborating with stakeholders to uncover data flows and dependencies within a cloud environment.

Qualifications

• Extensive data analytics experience, especially in UK Retail Banking.
• Strong SQL skills and ability to manipulate data with Python or R.
• Experience translating business needs into technical specifications.
• Proven ability to collaborate with stakeholders and document data requirements.
• Knowledge of data discovery, data flows and ETL concepts.

Responsibilities

• Collaborate with business stakeholders to gather and document data requirements.
• Translate business needs into functional and technical specifications.
• Conduct workshops and data discovery sessions to understand data flows and dependencies.
• Produce source-to-target mapping documents and data lineage research.
• Interpret complex datasets and complex business rules to support decisioning.

Skills

Data analytics

SQL

Python or R

Stakeholder collaboration

Analytical thinking

Problem solving

Data interpretation

Tools

AWS data lake

Job description

• Expertise: Strong history of data analytics experience, heavily focused within UK Retail Banking.
• Strong understanding of ETL processes.
• Experience in creating source-to-target mapping documents.
• Strong analytical and problem-solving skills.
• Ability to interpret complex datasets and business rules.
• Collaborate with business stakeholders to gather and document data-related requirements.
• Translate business needs into functional and technical specifications.
• Conduct workshops and data discovery sessions to understand data flows and dependencies.
• Domain Knowledge: Deep background in Retail Banking systems and data structures.

Good to have Proven track record analyzing loyalty, and rewards ecosystems.

• Technical Mastery: Expert-level SQL skills and proficiency in Python or R for data manipulation.
• Cloud Infrastructure: Practical, hands-on experience working in an AWS data lake environment (e.g., S3, Athena, Redshift, Glue).
• Soft Skills: Strong analytical and problem-solving skills with the ability to interpret complex datasets and business rules.