Data Analyst

Join us as a Data Analyst within the Procurement function at Barclays, where you'll be a key part of the evolution of our digital landscape, driving innovation and excellence through the production of MI and reporting to support critical decision making. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

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

• Bachelor’s degree in a related field.
• Proficiency in Advanced Excel (Power Query, Pivot Tables, VBA, complex formulas).
• Experience accessing data from Business Intelligence tools such as Tableau, SAP Business Objects, or Power Business Intelligence.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Excellent communication and stakeholder management abilities.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
• Execute data enrichment, validation and transformation tasks to prepare datasets for analysis.
• Design and build datasets for efficient data movement and processing.
• Apply advanced analytical techniques to solve complex business problems.
• Document data quality findings and provide actionable recommendations for improvement.
• Identification and analysis of business requirements to define report content and format.

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

Desirable Skillsets / Good to Have:

• Experience in a performance analytics or procurement.
• Exposure to data analysis best practices and methodologies.

Location - Noida.

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. 

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

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.