Job
Description
As a Data Ops DQ Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. **Key Responsibilities:** - Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification. - Design and build data pipelines for automating data movement and processing. - Apply advanced analytical techniques to large datasets to uncover trends and correlations. - Translate analytical findings into actionable business recommendations. - Design and create interactive dashboards and visual reports. - Lead and supervise a team, guiding professional development and coordinating resources. **Qualifications Required:** - Solid understanding of accounting principles and flow of accounting transactions. - Proficiency in analyzing data, identifying trends, and interpreting patterns using Excel. - Excellent communication skills, both verbal and written. - Ability to troubleshoot issues and document findings for reporting to senior management. - Knowledge of data elements, data lineage & data flow, and their impact on Finance data quality. - Proficiency in visualization tools will be a plus. - Other skills include a keen eye for detail and an investigative mindset. Joining Barclays as a Data Ops DQ Analyst will enable you to contribute to data-driven strategic and operational decision-making. You will extract actionable insights from large datasets, perform statistical and advanced analytics, and present findings through clear visualizations and reports. Your role will involve investigating data issues, designing data pipelines, applying advanced analytical techniques, and translating insights into actionable business recommendations. Additionally, you will create interactive dashboards, supervise a team, and drive continuous improvement. All colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive. As a Data Ops DQ Analyst at Barclays, you will play a crucial role in driving innovation and excellence in the digital landscape. You will utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. **Key Responsibilities:** - Investigate and analyze data issues related to quality, lineage, controls, and authoritative source identification. - Design and build data pipelines for automating data movement and processing. - Apply advanced analytical techniques to large datasets to uncover trends and correlations. - Translate analytical findings into actionable business recommendations. - Design and create interactive dashboards and visual reports. - Lead and supervise a team, guiding professional development and coordinating resources. **Qualifications Required:** - Solid understanding of accounting principles and flow of accounting transactions. - Proficiency in analyzing data, identifying trends, and interpreting patterns using Excel. - Excellent communication skills, both verbal and written. - Ability to troubleshoot issues and document findings for reporting to senior management. - Knowledge of data elements, data lineage & data flow, and their impact on Finance data quality. - Proficiency in visualization tools will be a plus. - Other skills include a keen eye for detail and an investigative mindset. Joining Barclays as a Data Ops DQ Analyst will enable you to contribute to data-driven strategic and operational decision-making. You will extract actionable insights from large datasets, perform statistical and advanced analytics, and present findings through clear visualizations and reports. Your role will involve investigating data issues, designing data pipelines, applying advanced analytical techniques, and translating insights into actionable business recommendations. Additionally, you will create interactive dashboards, supervise a team, and drive continuous improvement. All colleagues at Barclays are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.
