• Full Time
  • Chennai

Website Barclays

Data Analyst (AVP Level) – Barclays

Opportunity & Grade Overview

Attribute Details
Organization Barclays
Position Title Data Analyst (HR Transformation / Governance & Quality)
Corporate Grade Assistant Vice President (AVP)
Primary Location Chennai, Tamil Nadu, India
Domain Focus HR Technology Transformation, Data Governance, Migration, & AI Analytics
Values Framework Barclays Values (Respect, Integrity, Service, Excellence, Stewardship)
Operating Mindset Barclays Mindset (Empower, Challenge, Drive)

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

Area Tools & Competencies
Programming & Automation Python or R scripting for data validation, ETL automation, and statistical analysis.
Advanced BI & Dashboards Enterprise BI tools (Tableau, Power BI, or Qlik) for executive KPI reporting.
AI & Machine Learning Experience enabling data products for AI models and leveraging Generative AI for process optimisation.
Governance & Risk Application of data governance, privacy, and risk control frameworks within financial or HR transformation programs.

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.

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