CDO - Data Analyst

Purpose of the role

To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations. 

Accountabilities

• Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
• Monitoring data quality and records metrics and compliance with standards across the organization.
• Identification and addressing of data and records management risks and gaps.
• Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records.
• Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives.
• Provision of Group wide guidance and training on Data and Records Management standard requirements.

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 as a "CDO - Data Analyst", at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

To be successful as an "CDO - Data Analyst", you should have experience with:

• Strong proficiency in Power BI (DAX, modelling, visual design). 
• Solid Python experience for data manipulation and automation. 
• Advanced Excel skills (Power Query, complex formulas, automation). 
• Cloud Skills (AWS/Azure). 
• Working knowledge of AWS or Azure. 
• Experience with services such as S3, EC2, Redshift or Azure services.  
• Database Skills: Hands‑on experience with at least one RDBMS (e.g., Oracle) 
• Data Engineering & Architecture 
• Strong understanding of data warehousing /Data lake/ Data lake housing concepts 
• Knowledge of ETL/ELT pipelines 
•  Operating System & Scripting: Basic understanding of UNIX, Familiarity with Shell scripting.
•  DevOps & Deployment.
• Familiarity with code repositories (e.g., Git) 
• Working knowledge of Docker and Kubernetes 
• Modern Data Platforms: Awareness of Databricks, Snowflake, or similar platforms. 
• Understanding of open table formats. 
• Excellent written and verbal communication skills. 
• Strong communicator and stakeholder management, development lifecycle 
• Ability to work with technical and nontechnical audiences. 

Desirable / Good to Have:

• Understanding of data governance, data quality, and regulatory reporting. 
• Experience working in a data driven or risk focused environment.

You may be assessed on the key critical skills relevant for success in role, such as experience with data automation as well as job-specific skillsets.

Location - Pune.