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Data Analyst

barclays.co.uk Logo

Barclays

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • Supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
  • 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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