MI & Reporting Analyst - BA4

Join us as a "MI and Reporting Analyst Data Science US Consumer Bank" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
You Will be responsible for:

• A large part of this role will be On-going support and enhancement to Ware-house, Reporting, Information management and its design, Dashboard Creation, Maintenance, Automation, Data Set Curation, Data Set Transformation.

• Given the high exposure to Data, Reporting, Ware-houses, Dashboards, this role will be governed by Service Level Agreements and will be responsible for adherence to Data Standards, and Timelines.

• Delivering in-sights to enable earlier, faster, smarter decisions. This will rely on some Stake-holder management, partnership, building relationships. Another key factor will be the ability to present, and articulate a value proposition.

• Act as a data/technical expert for warehouses and tools used within the department, providing, support to colleagues

• Provide guidance to the rest of the team on all issues relating to data sources/uses

• Through extensive knowledge of python , pyspark and/or SQL in particular, provide guidance to other team members on all aspects of coding, including efficiency and effectiveness

• Be a Subject Matter Expert, and support colleagues in other appropriate  teams  by  sharing knowledge & best practices in coding and data

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

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

Basic / Essential Qualifications:

• Graduate in any discipline

• Ability to work dedicated shifts in the range of 12 Noon IST to 12 AM IST

• Minimum 2 Years experience in Data Science Domain (Analytics and Reporting)

• Ability to write and study and correct Python, SQL code is mandatory

• Ability to work with Big Data

• Ability to articulate a Value Proposition and Enhancement opportunity.

• Visualization Tools exposure like Power BI, Tableau.

Desirable skillsets / good to have:

• AWS Services exposure

• Machine Learning Operations

• Py Spark exposure

• SAS exposure

This role will be based out of 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.