Data Business Analyst

HSBC; City of Edinburgh; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading financial institution is seeking a skilled Data Business Analyst to drive AI/ML-powered insights for its Markets & Securities business. This pivotal role involves analyzing complex datasets, developing reporting tools like Power BI and QlikView, and collaborating with various stakeholders. Candidates should possess a relevant degree, strong analytical skills, and experience in data analysis. This position offers a competitive salary and a hybrid work model centered in Edinburgh.

Qualifications

• Prior experience in data analysis and business analysis.
• Ability to interpret complex datasets and provide actionable insights.
• Strong verbal and written communication skills.
• Strong analytical and communication skills.
• Attention to detail and ability to manage multiple priorities.

Responsibilities

• Collect, process, and analyse large datasets to identify trends.
• Gather and document business requirements with stakeholders.
• Develop and maintain dashboards and reports using BI tools.
• Implement validation and cleansing processes for data integrity.
• Partner with various 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.

Skills

Data Analysis

Business Requirements Gathering

Reporting & Visualization

Data Quality Assurance

Stakeholder Collaboration

Process Improvement

Project Management

Education

Bachelor’s degree in Business, Data Science, Statistics, or related field

Master’s degree (preferred)

Tools

SQL

Python

Excel

Power BI

QlikView

Job description

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

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 [e-mail]