3 months contract with a local authority
Job Summary:
As a Principal Data Analyst, a large part of your role will be to assist the Lead Asset Manager to develop and deliver the council's collections of data relating to our social housing stock. Working with colleagues across the Housing Revenue Account (HRA) Capital Programme you will be responsible for translating the requirements for data collection and developing a cleaning strategy and tools as the Programme transitions from Keystone to ServiceConnect. You will assist in identifying emerging and changing requirements and forecasting and future planning across the Housing Capital Programme.
Key Duties/Accountabilities:
Manage and run data systems and provide data reports, providing specialist advice to colleagues, making use of a variety of data to measure outcomes, inform decision making and improve service delivery.
Effective engagement and collaboration with key stakeholders resulting in adequate understanding of data usage and reporting requirements.
Proficient use of Microsoft technologies including Excel and PowerBI to deliver timely, reliable, and high-quality reporting and analytical solutions.
Generating actionable insights and implementing data governance frameworks and best practices that ensure compliance and mitigate risks associated with data management.
Essential Experience Required:
Excellent interpersonal and communication skills and understanding data architecture and migration.
Experience of building and structuring detailed performance reports using IT systems.
Experience of collating data, analysis and using performance management systems to inform service re-design and improvement to support complex projects.
Experience of leading on complex technical data issues including research, policy development and legislation or service changes.
Experience of working with senior managers to identify business requirements for automated business intelligence reporting.
Experience of using Keystone, Northgate, ServiceConnect or similar systems
Essential Qualifications Required:
GCSE Maths and English (grade 4 - 9) or equivalent/ equivalent level of work experience relevant to the field.
Recognised data analysis and improvement qualification/ accreditation
Additional information to note:
35 hours per week
09:am - 17:00pm working hours
The closing date for this position is ASAP