Data Analyst - Instrument DataOps

Purpose of the role

To monitor and ensure adherence to data quality standards, processes, and initiatives to enhance overall data quality and enable effective decision-making. 

Accountabilities

• Identification and prioritisation of critical data elements requiring quality improvement.
• Development and maintenance of data quality dashboards and reports to track progress and communicate data quality performance.
• Analysis and evaluation of data quality issues and trends  and perform root cause analysis to clearly articulate the problem.
• Development and implementation of thematic data quality strategies and policies aligned with the bank's overall data governance framework.
• Triage, prioritisation and determination of criticality of data quality issues managing associated risks, issues and dependencies, driving management and facilitation of data quality issue remediation and return to green plans.
• Definition of requirements and specifications for proposed data remediation efforts to meet regulatory commitments, risk controls and business objectives.
• Recommendation and implementation of data quality improvement technologies and tools, including use of machine learning.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us at Barclays as a Data Analyst - Instrument DataOps. This role will involve working within an Instrument and price Data function, so experience of this area is essential for the role. You will ideally have previous experience of Master Data Management systems, as well as an understanding of the end-to-end flow of data from sourcing to delivery to client. You should also possess the ability to work alongside Technology with view to develop an understanding of technical specification documents relating to master data architecture. Working in the Core Transformation team the main responsibility is to partner with Global Operations, Business and IT teams across the bank providing support for projects and initiatives, troubleshooting issues and facilitation of large remediation efforts across the Instrument and Price data sets. This role will focus on the change and project aspect of reference data, working in collaboration with tech, business and operations teams to input and drive initiatives forward from a data standpoint.

To be successful as a Data Analyst - Instrument DataOps you should have:

• Understanding of how to manage and monitor Critical Data Element (CDE) Governance, including lineage, ownership, and SLA tracking.
• Experience in reconciling internal data with external sources (e.g., Bloomberg, LSEG, FactSet) to ensure alignment and integrity. As well as use of tools and processes to validate data at ingestion, transformation, and distribution stages.
• Ability to identify, escalate, and resolve data quality issues (DQIs), including root cause analysis and remediation planning.
• Coordination with data consumers (trading, risk, finance, settlement) to understand data requirements and ensure delivery of fit-for-purpose data.

Some other highly valued skills/experience include:

• Knowledge of ingesting and hydrating data from strategic vendors (e.g., Bloomberg, ICE, S&P, IHS Markit) into internal systems like Stargate or Asset Control.
• Awareness of vendor-specific formats, identifiers (e.g., ISIN, CUSIP), and enrichment logic.
• Familiarity with golden copy systems and authoritative data sources (ADS), such as Stargate, ESM, and AC and an understanding of how data is mastered, validated, and stored centrally before distribution.
• Insight into how reference data is consumed by trading, settlement, finance, and risk systems, including the need for real-time distribution, API integration, and lineage tracking.
• Ability to support consumer-specific rule tuning and data quality expectations.

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.