Data Analyst

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Analyst Expectations

• To meet the needs of stakeholders/ customers through specialist advice and support
• Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles.
• Likely to have responsibility for specific processes within a team
• They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate 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 manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team.
• Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.
• Check work of colleagues within team to meet internal and stakeholder requirements.
• Provide specialist advice and support pertaining to own work area.
• 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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.
• Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.
• Make judgements based on practise and previous experience.
• Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.
• Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.
• Build relationships with stakeholders/ customers to identify and address their needs.

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 "Data Analyst" at Barclays, where you'll build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products. You will work with technical teams, architects, designers, and administrators to overcome technical challenges and to make it happen. You will need to take ownership of key initiatives to deliver results through an agile workflow.

Will have to design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance.

You may be assessed on the key critical skills relevant for success in role, such as experience with Data Analyst, as well as job-specific skillsets.

To be successful as an "Data Analyst", you should have experience with:

Desirable skills/Preferred Qualifications:

• Strong interest in automation, continuous improvement, and digital transformation, with the ability to identify opportunities to streamline processes and improve efficiency.
• Awareness of Microsoft Power Platform, AI-enabled tools, and automation technologies, with a willingness to learn and adopt emerging solutions.
• Basic understanding of Microsoft Copilot and Copilot Agents, including their potential to enhance productivity, reporting, and business processes.
• Curious, proactive, and innovative mindset with a passion for leveraging data, automation, and AI to deliver business value and improve decision-making.

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role will be based out of Gurugram.