Data Analyst

Purpose of the role

To define, direct and govern the bank’s target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. 

Accountabilities

• Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan.
• Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage.
• Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information.
• Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress.
• Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access.
• Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports.
• Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio.
• Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards.

Assistant Vice President Expectations

• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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 Data Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness remove entirely technology to evolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Data Analyst you should have experience with:

• Understand the basic concepts and purpose of; Principles, Policies, Standards and Guidelines, and how they should be applied / mandated
• Understand concepts of Relational Data-Base Management Systems (RDBMS); Big Data; Extract Transform & Load (ETL); Business Intelligence (BI) and Analytics toolsets
• Able to apply data design patterns and frameworks, working knowledge of schemas and normalisation
• Understand the inter-relationship of data tools and how these can improve data management maturity. Experience of scripting, coding or configuring at least one data management toolset

Some other highly valued skills may include:

• Capable of writing and reviewing data standards and familiar with data standards / best practices
• Proficient in communicating data standards and demonstrating their value to the wider audience
• Knowledge of Waterfall and Agile methodologies in relation to defined data deliverables
• Facilitate user requirement gathering to inform design.  Reverse engineer requirements from existing data sources & applications
• Experience in multiple data platforms ranging from mainframe, RDBMS, Big Data (Hadoop) and NoSQL to be able to understand practical limitations in implementing standards
• Experience in using data modelling tools such as E/R Studio
• Strong attention to detail
• Experience of working in large scale transformation programmes with proven ability to provide solutions to complex problems

You may be assessed on key critical skills relevant for success in role, such as

risk and , change and transformation, business acumen, strategic

thinking and digital and technology, as well as job-specific technical skills.

This role is based out of Pune.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you declare this as part of your application. Sponsored visas are role and entity specific and any changes  be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.