Barclays is hiring for the position of Data Analyst in Pune, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Barclays |
| Position | Data Analyst |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Pune, India |
Accountabilities:
- Investigate and analyze data quality, lineage, controls, and authoritative source issues, while documenting data sources, methodologies, findings, and recommendations for improvement.
- Design, develop, and maintain data pipelines to automate data movement, integration, and processing activities.
- Apply advanced analytical techniques to large and complex datasets to identify trends, patterns, and correlations.
- Develop and validate logical data models to support business and operational requirements.
- Leverage machine learning and AI techniques to generate actionable insights and business value.
- Translate analytical findings into practical business recommendations that drive operational efficiency and process improvements.
- Design and create interactive dashboards, visualizations, and reports using appropriate analytics and business intelligence tools.
- Automate recurring reporting processes to support regular and ad-hoc stakeholder requirements.
Assistant Vice President Expectations:
- Advise and influence business decision-making through data-driven insights and strategic recommendations.
- Contribute to policy development and drive operational effectiveness across business functions.
- Collaborate closely with cross-functional teams and business divisions to achieve organizational objectives.
- Lead teams performing complex analytical and operational tasks to deliver business-critical outcomes.
- Establish team objectives, provide coaching and mentorship, and manage performance evaluations and development plans.
- Foster a collaborative and high-performance culture by demonstrating strong leadership and people management skills.
- Lead collaborative assignments and guide team members through structured project execution and problem-solving activities.
- Identify opportunities to incorporate cross-functional expertise, methodologies, and best practices to achieve project goals.
- Provide consultation and expert guidance on complex issues and support leaders in resolving escalated challenges.
- Identify and implement risk mitigation strategies while contributing to governance frameworks, policies, and procedures.
- Take ownership of risk management activities and strengthen internal controls within assigned areas of responsibility.
- Develop an understanding of related business functions and how they contribute to broader organizational goals.
- Partner with business-aligned support functions to stay informed about evolving business priorities and strategies.
- Conduct complex analyses using information from multiple internal and external sources to support strategic initiatives and business decisions.
- Communicate complex, sensitive, and business-critical information effectively to diverse stakeholder groups.
- Influence, engage, and build consensus among stakeholders to drive alignment and achieve desired business outcomes.
Eligibility Criteria:
- Demonstrate experience in analyzing and documenting business requirements, translating them into data definitions, models, and artifacts aligned with organizational objectives.
- Possess experience in developing and maintaining data dictionaries and business glossaries to ensure consistent data definitions and usage.
- Ability to analyze and monitor data usage patterns to identify opportunities for optimization, standardization, and process improvement.
- Experience conducting data quality root cause analysis and implementing remediation actions to enhance the quality of both newly acquired and existing large-scale datasets.
- Demonstrate knowledge of supporting data product flows, including data sourcing, lineage tracking, and control point management to improve data quality and consistency.
Preferred Skills:
- Experience leveraging AI technologies to improve business processes and support advanced analytics initiatives.
- Possess scripting skills, such as Python, to support data validation, automation, and analytical activities.
- Ability to collaborate effectively with stakeholders across HR, HR Technology, business teams, and third-party partners to deliver transformation programs successfully.
- Experience in implementing data products and enabling the effective use of data within AI and machine learning models.
- Knowledge of data governance and records management standards, with the ability to apply them within transformation and change management environments.
About Company:
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
How To Apply?
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