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Join us as a "Data Analytics & BI Engineer - IDL Technology " 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 may be assessed on the key critical skills relevant for success in role, such as experience with, skills to meet business requirement as well as job-specific skillsets.
Job Responsibility
Design and development of comprehensive reports and dashboards utilisng best practices in data visualisation principles and design aesthetics to ensure clarity, accuracy, and accessibility
Design, development and implementation of automated report generation processes and visualisation methodologies for improved efficiency and timeliness
Identification and analysis of business requirements to define report content and format
Maintenance and updating of existing reports and dashboards to reflect changing business needs, including co-ordination of reporting template releases and related administrative tasks
Development of robust processes & controls for collating input data, performing exploratory data analysis & data cleansing and seeking signoffs as required
Engagement with stakeholders as needed to ensure up to date data is incorporated into reporting and visualisations
Requirements
Strong BI engineering capability, including semantic model design, DAX measures, report design, performance tuning, row-level security and workspace / deployment pipeline management
Strong SQL and data modelling expertise to produce curated, explainable and trusted datasets
Experience with Power BI, Tableau or Qlik and strong data storytelling skills. observability and auditability
Minimum experience required 7 years
Minimum Qualification – bachelor's degree
Nice to have
Experience with streaming / event-driven technologies such as Kafka, Spark or structured streaming
Experience working in regulated environments with secure-by-design controls, retention, access governance and evidencing requirements
Experience building and operating reliable production-grade data pipelines, including near-real-time or streaming patterns, with strong controls around quality, reconciliation