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Digital Data Analyst

Data Science & Analytics

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 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 a Digital Data Analyst, you should have experience with:

Basic/ Essential Qualifications:

• Experienced in using analytical techniques to translate data use cases into actionable insights that drive measurable business outcomes.
• Proficient programming skills, including SQL and cloud-based platforms such as AWS.
• Excellent communication and stakeholder management, with the ability to articulate technical findings in clear business terms and demonstrate value to senior stakeholders.
• Technical leadership and mentoring, supporting junior analysts and functional teams to maintain best‑practice analytical standards.
• High analytical diligence, with a meticulous approach to data validation, quality assurance, and cross‑checking insights to ensure accuracy and reliability.

Desirable skillsets/ good to have:

• Experience using Python to solve analytical and automation challenges.
• Project management and cross‑functional leadership, with experience delivering work through a matrixed organization.
• Strong understanding of digital banking channels and end‑to‑end payment journeys, with the ability to interpret customer behavior to identify trends, friction points and opportunities for optimization.
• Experience working with product, UX, or digital journey teams to embed analytics into digital design and optimization cycles.
• Experience with digital analytics tools or similar platforms such as Adobe Analytics, Google Analytics etc, including reporting and deriving insights from customer journey data. 

You may be assessed on the key critical skills relevant for success in role, such as experience working with large & complex datasets using SQL & generating insights using data analytical techniques as well as job-specific skillsets.

This role will be based out of Gurugram location.