Senior Data Analyst Job at Barclays (Glasgow)

Senior Data Analyst

Barclays

Location:
United Kingdom , Glasgow

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Step into the role of Senior Data Analyst at Barclays within the Investment Bank Client Data team, where you will be helping implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. As a Senior Data Analyst, you will be at the forefront of shaping the organization’s data quality strategy, ensuring that the data powering critical business decisions across the investment banking division is not only reliable and accurate but also actionable. You will play a key role in OPC (Organisational Party Central), a flagship initiative focused on mastering Party data across the bank, directly contributing to improved data governance and operational efficiency. Your expertise will help drive smarter, more informed decision-making at the strategic level, while ensuring the integrity of data across multiple systems.

Job Responsibility:

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs

Requirements:

Demonstrates the ability to interpret key performance metrics and provide well-informed, actionable recommendations
Skilled in conducting comprehensive root cause analysis to identify and resolve data quality issues effectively
Proficiency in SQL and Excel for extracting, analysing, and presenting data-driven insights
Experienced in gathering, documenting, and validating business and data requirements through structured workshops and stakeholder discussions
Possesses strong analytical and problem-solving capabilities, with the ability to interpret and synthesise complex datasets

Nice to have:

Advanced Data Analysis & Visualisation - Proficiency in Python, R, and tools like Tableau, Power BI for dashboards and reporting
Statistical & Predictive Analytics - Knowledge of statistical modelling, machine learning, and predictive analytics for trend forecasting
Financial Domain Expertise - Understanding of financial instruments, regulatory frameworks, and risk management principles
Cloud & Big Data Platforms - Exposure to AWS, Snowflake, or similar technologies for scalable data solutions

What we offer:

Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
International scale offering variety, depth and breadth of experience
Chance to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility and explore operations

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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