Complaint Root Cause Analysis

Join us as a "Complaint Root Cause Analysis" at Barclays, where youll leverage advanced data and analytics to identify and address the root causes of customer complaints across BUK, including those referred to the Financial Ombudsman Service (FOS). You’ll conduct deep-dive investigations into complaint themes, drivers, and overturns to uncover systemic issues and drive improvements in customer outcomes.

You’ll translate root cause analysis (RCA) and FOS insights into actionable change proposals, challenge the effectiveness of implemented actions, and ensure full compliance with DISP and FCA regulatory requirements.

Working with our Product, Journey, Channel, and Operations teams, you’ll embed insight-led change initiatives, ensuring they are monitored and evaluated to support scaling where successful.

To be successful as a "Complaint Root Cause Analysis", you should have experience with:

Basic/ Essential Qualifications

• Conducting deep-dive analysis and translating insights into change
• Collaborating effectively across diverse stakeholder groups
• Strong communication and interpersonal skills
• Data-driven decision making and problem solving
• Technical proficiency in coding (SQL, Python), modelling, and data visualisation (e.g. Tableau)
• A strong control, governance and risk mindset
  
  
  

Desirable Skillsets/ Good To Have

• Application of AI and machine learning to accelerate insight generation
• Experience and knowledge of Agile ways of working
• Experience in large-scale organisations and matrix environments
• Influencing and driving change across wide-ranging teams
  
  
  

This role will be based out of Gurugram.

Purpose of the role

To 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.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.
  
  
  

Analyst Expectations

• To meet the needs of stakeholders/ customers through specialist advice and support
• Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles.
• Likely to have responsibility for specific processes within a team
• They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate 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 manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team.
• Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.
• Check work of colleagues within team to meet internal and stakeholder requirements.
• Provide specialist advice and support pertaining to own work area.
• 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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.
• Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.
• Make judgements based on practise and previous experience.
• Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.
• Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.
• Build relationships with stakeholders/ customers to identify and address their needs.
  
  
  

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.

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