2027 Data and Enablement Summer Internship… at Barclays · Gurugram

2027 Data and Enablement Summer Internship Programme India
Location: Gurugram, DLF Downtown
Job Description
Purpose of the role
To support the day-to-day operations of the data and analytics division providing insights and expertise that help more senior colleagues make informed decisions, develop new products and services, and identify new market opportunities
Accountabilities
Execution of small research projects, research to support strategic decision making, preparation of presentations and reports to communicate research findings, collaboration with senior management to implement research findings for data and analytics.
Collaboration with cross-functional teams to support business initiatives.
Participation in training and development programs to enhance skills and knowledge.
Identification of opportunities, development of business cases, management of the deployment and launch of new products and services for data and analytics.
Management of client relationships and provision of customer service support to clients and customers, under steadily decreasing supervision, responding to questions about products and services, processing of transactions, and resolution of customer complaints.
Management of the development and implementation of financial models and strategies that support in decision making for data and analytics.
Training and mentoring of junior colleagues, facilitation of individual or group training sessions, and development and maintenance of training materials.
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.
Key Accountabilities
Support the Strategy & Insights team in value added, data driven insights across a number of analytical capabilities
Pricing/Market Analysis
Financial modelling
Risk / Reward Analysis
Data Manipulation
Able to develop, maintain and manage reporting analytics, dashboards and other solutions.
Deriving data insights and maintain them in dynamic Tableau dashboards, presentations and reports demonstrating multiple dimensions.
Provide support to senior leadership teams to create powerful presentations using Tableau,  MS tools.
Work in-line with overall Barclays strategy across Technology delivery and Business operations change
Identify, quantify, plan and control all business design and analysis related activity on projects
Undertake analysis to create new pieces of work to support the Insights, utilising a range of data sources such as transactional data, customer data and geodemographic data.
Maintain documentation of data processes for compliance and support documentation of proposals and analysis, through to sign-off
Ensure to meet the SLA/agreed timelines and manage the effectiveness of data processes
Discover, plan and automate existing data processes
Support opportunities to optimise and automate activities and processes
Track KPIs / commercial success of initiatives, feedback to stakeholders and incorporate learnings in to future strategies
Ensure Adherence to Model Risk Management Standards
Take part in initiatives to improve the accuracy, availability, granularity and coverage of our data
Work as part of a project team to create new data products, applying customer-centric thinking to the product synthesis
Support in the incremental improvement of the system by identifying areas of operational weakness and proactively thinking of solutions to improve processes
Embed Agile and Scrum practices across product delivery, enabling faster decision-making, enhanced collaboration, and continuous value realisation.
Drive the adoption of advanced analytics, machine learning, and AI capabilities to improve operational efficiency, customer outcomes, and risk management.