Senior Data Analyst

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.

We are looking for a highly motivated data professional with a deep passion for data quality, proven experience in financial analytics, and a track record of delivering actionable insights that make a tangible impact. If you are results‑driven, thrive in a fast‑paced environment, and have a strong desire to elevate data‑driven decision‑making in investment banking, we want to hear from you.

To be successful as a Senior Data Analyst, you should have:

• 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.

Other highly valued skills include:

• 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.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job‑specific technical skills.

This role is based in Glasgow with a hybrid working model of working a minimum of 2 days per week in the office.

To enable data‑driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

• 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.

• To contribute or set strategy, drive requirements and…