Analyst in Finance Data Operations

Purpose of the role

To monitor and ensure adherence to data quality standards, processes, and initiatives to enhance overall data quality and enable effective decision-making. 

Accountabilities

• Identification and prioritisation of critical data elements requiring quality improvement.
• Development and maintenance of data quality dashboards and reports to track progress and communicate data quality performance.
• Analysis and evaluation of data quality issues and trends  and perform root cause analysis to clearly articulate the problem.
• Development and implementation of thematic data quality strategies and policies aligned with the bank's overall data governance framework.
• Triage, prioritisation and determination of criticality of data quality issues managing associated risks, issues and dependencies, driving management and facilitation of data quality issue remediation and return to green plans.
• Definition of requirements and specifications for proposed data remediation efforts to meet regulatory commitments, risk controls and business objectives.
• Recommendation and implementation of data quality improvement technologies and tools, including use of machine learning.

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 "Data Ops DQ 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 unapparelled customer experiences.

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

• A solid understanding of accounting principles, flow of accounting transactions and their representation in a Bank's financial statements.

• Understanding of data good understanding of data elements, data lineage & data flow, and their impact on Finance data quality.

• Ability to analyze data, identify trends, interpret patterns, and understand interrelationships; proficiency in basic Excel functions is required.

• Ability to document findings in a visually appealing and intuitive manner for reporting to senior management, technical proficiency in visualization tools will be a plus.

• Excellent communication skills, both verbal and written.

• Other skills keen eye for detail, investigative mindset, and ability to troubleshoot issues. 

Some other highly valued skills may include (Mandatory):

• Accounting Knowledge.

• Analytical Ability.

• Data Visualization & Reporting skills.

Location: Chennai.

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 and digital and technology, as well as job-specific technical skills.