Data Project Support Lead

Data Project Support Lead

Location: Fleet House, 59-61 Clerkenwell Road, London, EC1M 5LA
Start Date: ASAP
Contract Duration: 3+ Months
Working Hours: Mon – Fri, 09:00 – 17:00, 37 Hours per week
Pay Rate: £ 18.33 per hour
Job Ref: OR13180
 
Job Responsibilities

• Lead and contribute to data-related projects that align with strategic objectives and enhance asset data quality.
• Support regular reporting cycles by ensuring data accuracy, completeness, and readiness for use.
• Build and maintain dashboards and reports using Power BI, Excel, and other visual tools to facilitate informed decision-making.
• Clean, check, and enhance asset data using SQL and tools like AGS to ensure reliability, completeness, and accessibility.
• Investigate recurring data issues, resolve root causes, and monitor progress to drive sustainable improvements.
• Collaborate with AMS, BI, and compliance teams to ensure data processes are aligned and consistent with stakeholder needs.
• Maintain up-to-date asset records, apply data rules, and manage exceptions for new properties, surveys, and works.
• Set and apply data quality standards and readiness checks for reporting and system inputs, promoting transparency and fairness.
• Provide technical support for data projects, including system upgrades and testing, focusing on usability and accessibility.
• Lead data improvement initiatives, including profiling and publishing dashboards to track progress and celebrate team achievements.
• Share knowledge and coach others on data quality and governance best practices, promoting a culture of learning and collaboration.
• Work with stakeholders across the organisation to resolve data issues and promote continuous improvement through respectful engagement.
• Utilize data trends and insights to support strategic decisions and identify improvement areas, ensuring alignment with values and commitment to equity and excellence.

Person Specifications

• Proficient in SQL, Power BI, and Excel for data analysis and visualization.
• Experience working with large datasets to generate meaningful insights.
• Familiarity with data quality profiling, cleansing, and governance principles.
• Understanding of reporting requirements and database systems.
• Strong analytical mindset with the ability to spot trends and anomalies.
• Confident communicator, able to explain technical concepts to diverse audiences.
• Collaborative approach to problem-solving across teams and functions.
• High attention to detail and commitment to data integrity.
• Adaptable and proactive, with a positive attitude and ability to manage competing priorities.

 
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