Website Barclays
Data Analyst (AVP Level) – Barclays
Opportunity & Grade Overview
Core Operational Workflow
The role sits at the intersection of enterprise HR data governance, data pipeline automation, and advanced business intelligence:
[HR Data Sourcing & Lineage] ➔ [Data Quality Root Cause & Control] ➔ [Automated Pipeline & Modeling] ➔ [AI/ML Analytics & AVP Stakeholder Delivery]
Key Accountabilities & Responsibilities
-
Data Quality & Root Cause Analysis: Investigate, remediate, and monitor large-volume HR datasets. Identify lineage breakpoints, control points, and authoritative data sources.
-
Architecture & Data Pipelines: Design, construct, and automate scalable data pipelines for data movement, migration, and business reporting.
-
Enterprise Governance & Dictionaries: Maintain global HR data dictionaries, business glossaries, and data definitions aligned with strict regulatory and records governance standards.
-
Advanced Analytics & AI Integration: Apply statistical modelling, machine learning, and AI methodologies to analyse HR datasets, uncovering trends, operational bottlenecks, and predictive workforce insights.
-
Interactive Visualisation: Build, automate, and maintain executive dashboards and visual reports for cross-functional HR and business leadership.
Technical & Skill Requirements
Essential / Baseline Qualifications
-
Data Modelling & Mapping: Proficiency in business requirement documentation, conceptual/logical data modelling, and data dictionary management.
-
Data Remediation: Experience handling large-scale data quality assessments, data lineage mapping, and root cause analysis in transformation environments.
-
Data Migration Controls: Practical background supporting data migration, validation frameworks, and control point implementation.
Desirable & Advanced Technical Stack
Assistant Vice President (AVP) Scope & Expectations
As an AVP-level hire, the role carries leadership, consulting, and governance obligations beyond routine data manipulation:
1. Leadership & Collaboration Modes
-
People Leader Track: Directing a data analytics team, establishing performance objectives, conducting reviews, and demonstrating Barclays’ LEAD behaviours (Listen, Energise, Align, Develop).
-
Individual Contributor Track: Leading cross-functional matrix assignments, mentoring junior analysts, and guiding interdisciplinary teams across HR, HR Tech, and third-party vendors.
2. Governance, Risk, & Stakeholder Influence
-
Risk Management: Driving the risk and control agenda, establishing data mitigation policies, and ensuring full compliance with banking security standards.
-
Executive Advising: Consulting on complex data discrepancies, advising senior People Leaders, and presenting data-driven recommendations to influence strategic decisions.


Follow Us