Lead Data Analyst Job Glasgow area,Scotland UK,IT/Tech

Join our team as a Lead Data Analyst, where you will play a key role in enabling data-driven transformation across the bank. The ideal candidate will have strong experience in Agile analysis, stakeholder engagement and banking products, with the ability to translate complex business needs into scalable data solutions, uncover valuable insights through advanced analytics, and deliver meaningful outcomes through effective collaboration with business, technology and product teams.
To be successful as a Lead Data Analyst you must have the following essential skills:

Strong banking/domain knowledge is valuable, but hands-on data analysis and modelling capability is the key discriminator.
Demonstrable SQL proficiency for data profiling, reconciliation, investigation, and root-cause analysis.
Able to translate business and data requirements into BRDs/FRDs, epics, capabilities, features, user stories and clear acceptance criteria..
Experience with source-to-target mapping and transformation rules across complex data landscapes.

Some Other Highly Valued Skills May Include

Practical experience defining Data Quality rules, identifying exceptions, and driving remediation
Strong understanding of data lineage and authoritative source identification.
Evidence of working hands-on with Data Products, shaping the underlying data rather than primarily managing the backlog.
Comfortable with backlog refinement, feature mapping, PI/Agile ceremonies, Definition of Ready/Done, testing and defect triage.
Exposure to modern data platforms such as Snowflake / Databricks / cloud data ecosystems is highly desirable.

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 located in our Glasgow office.
Purpose of the role 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.
Accountabilities

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.

Vice President Expectations

To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures..
If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term…