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Data Project Support Lead
Job Posted: 43 minutes ago
Salary: £ Competitive
Job Type: Contract
Location: London
Expire in: a month
Job Description
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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