Data Analyst

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.

Embark on a transformative journey as a 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 revolutionize our digital offerings, ensuring unparalleled customer experiences.

This role is within the Data Curation and Engagement team, which is responsible for the delivery and development of business, regulatory and Client reporting across Barclaycard Payments.  The role will involve engaging with stakeholders from across the business, to carry out requirement analysis, data discovery and prototyping to assist in leveraging available data and in the development of reporting and analytical solutions to satisfy business use case needs and ensuring the continuity of reporting following source systems and platform changes. The roles holder will be required to drive best practice in data solutions, demonstrate strong data governance principles and be seeking to continually drive process improvements.

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

• Accountable to the Head of Data Curation and Engagement to provide support to the data delivery.

• Engage with the required stakeholders to analyse requirements, undertake data discovery and prototype business rules to fastrack subsequent data solution delivery / automate data movement and processing.

• Maintain documentation of data reporting controls and processes for compliance.

• Empowered to optimise and improve data processes.

• Application of advanced data analytical techniques to solve complex business problems

• Designing and prototyping Solutions for data transformation and data cleansing to prepare data for analysis.
   

Some other highly valued skills may include:

• Experience of working with a range of stakeholders and building effective relationships across the business and geographies.

• Strong knowledge of SAS, Databricks and SQL.

• Excellent communication and stakeholder management skills.

• Ability to articulate technical findings in business terms and demonstrate value to stakeholders.
   

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

The job location of this role is Noida.