Job Description

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. 

Accountabilities

• Identification and extraction of relevant data from various internal and external sources.
• Performing sensitivity analysis and scenario planning.
• Monitoring and evaluation of the performance of existing models.
• Development and implementation of data quality control procedures.
• Building and validation of quantitative models to support decision-making across different business areas.

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 "Digital Data Analyst for US Consumer Banking " 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.

You may be assessed on the key competencies critical for success in this role, including digital product analytics experience across mobile and web channels, driving digital sales growth, and effectively partnering with U.S.-based and cross-functional teams.

To be successful as a "Digital Data Analyst for US Consumer Banking", you should have experience with:

Overall purpose of role

• Drive digital growth for existing customers by leveraging data, analytics, and customer insights to optimize digital experiences across web and mobile channels, increase customer engagement and conversions, and support strategic decision-making through strong partnerships with U.S.-based and cross-functional teams.

Key Accountabilities

• Drive digital product analytics across mobile and web channels to identify opportunities that enhance customer engagement, improve user experience, and drive business outcomes.
• Measure, analyze, and generate actionable insights on the performance of digital placements and customer journeys across Barclays-owned and partner digital properties.
• Drive incremental digital sales and conversions for existing customer management programs by recommending and implementing optimization strategies for digital experiences, offers, and placements.
• Develop and manage end-to-end funnel analytics, partnering with product, marketing, technology, and external partner teams to identify friction points and improve conversion performance.
• Leverage multiple internal and external data sources to uncover customer insights, inform business strategy, and support data-driven decision making.
• Partner with U.S.-based and cross-functional teams to align analytics priorities with business objectives and ensure successful execution of digital growth initiatives.

Basic/ Essential Qualifications:

• Bachelor's degree in quantitative or analytical discipline (e.g., Statistics, Economics, Mathematics, Finance, Business Analytics).
• Strong analytical, problem-solving, and strategic thinking capabilities.
• Hands-on experience with Python, SQL, SAS, AWS, Databricks and Power BI.
• Proven track record of translating data into actionable insights and business outcomes.
• Experience with digital analytics, clickstream data, customer journey, and funnel analysis.
• Excellent communication, storytelling, and stakeholder management skills.
• Ability to thrive in a fast-paced environment while managing multiple priorities and partnerships.

Desirable skillsets/ good to have:

* Good to have experience in US credit card business and P&L drivers.

* Good to have knowledge on adobe analytics, google analytics or any related digital analytics.

This role will be based out of Gurugram.