Data Analyst

Join us 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 revolutionise our digital offerings, ensuring unapparelled customer experiences.

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

• Experience working with large data sets in order to extract business insights
• Hands-on experience in developing Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports.
• Mandatory skillsets around Unix and SQL scripting.
• Nice to have knowledge on JIRA or any workflow tools, Dashboard tools, Hadoop and Java/Json.
• Effective problem solver, organized. Team player.
• Creative Thinker in Technology Tooling and applications.
• Good Communication and Presentation skills.
• Able to create ad-hoc reports, dashboard using MS Excel, MS Power Point and Visio.
• Ability to multi-tasking and support multiple data management standards.
• Industry experience in building and operationalizing various Data Management. and/or Governance solutions in banking and finance domain would be an added advantage.
• Effectively drive Change Management initiative for implementation.

Desirable skillsets/ good to have:

• Ability to work with a wide range of stakeholders and convert abstract ideas into actionable requirements
• Ability to work with ambiguous situations and uncertainty
• Out of the box thinking to solve real world problems
• Should be able to juggle between multiple priorities efficiently
• Work collaboratively with teams across different geographic locations and contribute to Data Management and Governance capabilities.
• Good presentation skills – Should be able to present findings and insights in a manner understandable to business.

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

Location - Pune.

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement. 
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. 

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.