Data Business Analyst

CompanyHSBC

LocationEdinburgh, Scotland, United Kingdom

Posted At1/26/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (50.0%).

Occupation Type

Data analysts

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

Data Business Analyst

Location: Edinburgh / Hybrid - CANDIDATE MUST BE LOCATED CLOSE TO EDINBURGH

Contract Length: 6 months

Competitive Rate of Pay

About the Role

We are seeking a skilled and analytical Data Business Analyst to join HSBC. The work and output will directly enable and drive new data pipelines to create AI/ML powered insights and signals for the Markets & Securities business.This role is pivotal in bridging the gap between business needs and data-driven solutions. You will analyse complex datasets, identify trends, and collaborate with a wide range of stakeholders to unlock revenue growth opportunities and remediate gaps related to model risk policy requirements on data documentation and quality control.

Key Responsibilities

Data Analysis: Collect, process, and analyse large datasets to identify trends, patterns, and actionable insights.
Business Requirements: Work with stakeholders to gather and document requirements, ensuring alignment with data solutions.

Reporting & Visualization: Develop and maintain dashboards and reports using tools like Power BI and QlikView.

Data Quality Assurance: Implement validation and cleansing processes to ensure data integrity.

Stakeholder Collaboration: Partner with FO quants, IT, finance, and operations teams to support data-driven initiatives.

Process Improvement: Recommend data-driven solutions to enhance business performance.

Project Management: Manage data-related projects, ensuring timely delivery and governance compliance.

Qualifications & Skills

Education: Bachelor’s degree in Business, Data Science, Statistics, or related field (Master’s preferred).
Experience: Prior experience in data analysis and business analysis.
Technical Skills: Proficiency in SQL, Python, Excel, and BI tools (Power BI, QlikView).
Analytical Skills: Ability to interpret complex datasets and provide actionable insights.

Communication: Strong verbal and written skills to present findings to non-technical stakeholders.

Attention to Detail: High accuracy in data analysis and reporting.

Team Player: Collaborative mindset with ability to manage multiple priorities.

If you think you are up for the task and feel you meet the above criteria or interested to hear more information, please contact me on amy.walker@tapin.com