Job Description

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

• 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 "Assurance Data Analytics" 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 [Assurance Data Analytics], you should have experience with

1 Stakeholder Management

2 Decision Making & Problem Solving

3 Strong Communication Skills

Some other highly valued skills may include

 1 Experience in risk management/control assurance

2 Good experience of Python and/or cloud concepts and Tableau

3 Experience is SQL is mandatory

Key Accountabilities:

Driving optimal decision-making via the effective communication of evidence-based, quantified conclusions

Identifying the relevant data points for the issue at hand; understand and extract the required portions quickly through optimized querying of our data storage systems.

Manipulating data efficiently, overcoming challenges around volume and velocity

Being responsible for packaging conclusions and recommendations concisely, making the appropriate actions intuitively clear for customers

Applying technical and analytical expertise to exploring and examining data with the goal of discovering patterns and previously hidden insights

 Identifying opportunities for data science and analytics and communicate appropriately to stakeholders.

Drawing insights from data analytics independently; coaching others to do the same.

Develop management reports and dashboards for stakeholders translating business requirements into tactical/strategic analytics/ BI solutions!

 Create automated reporting and dashboards to allow CCO colleagues to explore data and look for issues!

Perform in-depth analysis to identify key business risks and opportunities and make recommendations to improve risk and control environment!

Distil complex data and relationships into clear, concise charts and visualizations.

Essential Skills:

 Excellent knowledge of best practice data storage, retrieval, and manipulation tools, such as SQL

Some familiarity with Python and/or cloud concepts and Tableau

Knowledge of automation of reports, dashboards

Desirable skills:

Experience in risk management/ control assurance.

Ability to identify and learn emerging data analytics technologies and utilize them to deliver practical business solutions.

Ability to perform complex quantitative analysis and translate results into meaningful business insights.

Experience training end users in data analysis technologies.

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

[Location-Noida]