Data Analyst

Join us as a Data Analyst at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences.
To be successful as a Data Analyst you should have experience with:

• Well-versed hands-on experience in data analysis or performing a data-focused Tech BA role. Working across a complex technical and business stakeholder matrix (multi-geography) to efficiently create process flows and detailed technical requirements.

• Technical analysis of data migration projects covering database & table level details, reconciliation, and SAS process migrations. Creating & maintaining Data Dictionaries, Metadata, Data Lineage, Mapping documentation, API Catalogues, and interface inventories supporting OLAP and OLTP capabilities.

• Strong SQL query writing abilities for small to medium complexity requirements. Strong SAS software experience performing ad-hoc analysis and BAU reporting with minimum 2 years hands-on experience.

• Exposure to Python programming for data analysis; automation, and scripting. Working with large datasets on data extraction, cleaning, analysis, and presentation.

• Understanding and implementation of Technology Application Delivery and Data Management control frameworks. Knowledge of Apache Spark, Databricks and AWS cloud services.

• Tableau or other data visualization tools (Power BI, Qlik, etc.) for creating interactive dashboards and reports.

Some other highly valued skills may include:

• Practical agile methodology experience; defining business outcomes, creating portfolio epics and user stories. SAS Certified Base and/or Advanced Programmer certifications.

• Hands-on experience in data streaming, ETL, data quality, data reconciliation, data processing, data warehousing preferably on AWS.

• Experience in batch and real-time warehousing. Advanced Python libraries experience (Pandas, NumPy, Matplotlib, Seaborn) for data manipulation and visualization.

• PySpark for distributed data processing and big data analytics.

• AWS certifications (Solutions Architect, Data Analytics, Machine Learning, Data Engineering). Advanced Tableau/Power BI skills including calculated fields, parameters, and dashboard optimization.

• Banking and financial services exposure specifically in fraud detection. Experience working in large matrix organizations and a track record of results working with senior stakeholders.

• Ability to work independently with minimum guidance and shape abstract situations. Flexibility to overlap with US, UK and India time zones on a need basis.

• Superior drive for results with ability to juggle priorities, multi-task and execute flawlessly at speed.

You may be assessed on 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.

This role is based out of 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.