Operational Management Information Developer

Department for Work and Pensions (DWP); West of England; On-site; GBP 40,000 - 60,000; Full time

Job summary

Department for Work and Pensions (DWP) in the United Kingdom is recruiting an Operational Management Information Developer within the Working Age Services Directorate, part of the Digital Transformation Group. The role focuses on turning data into meaningful insight to support decision making and service improvement for millions of customers.

You will produce management information and visualisations with Power BI, develop analytical products using SQL, and lead performance improvement projects

Qualifications

• Data analysis and visualization experience.
• Ability to turn data into actionable insight.
• Experience presenting findings to non-technical audiences.

Responsibilities

• Produce insightful management information and visualisations using Power BI or similar tools.
• Develop robust analytical products using SQL or similar languages.
• Combine data from multiple sources to inform business improvements.
• Lead analytical and performance improvement projects with pace and priority management.
• Identify opportunities to improve service delivery across Universal Credit and Labour Market services.
• Build relationships with stakeholders at all levels to influence decisions.
• Present complex data findings clearly to non-technical audiences.
• Foster an inclusive and collaborative team environment.

Skills

Power BI

SQL

Tools

Power BI

Job description

Please note this role requires you to pass Security Check clearance. For further information, please see 'Selection process details'. Are you passionate about turning data into meaningful insight? Do you enjoy identifying opportunities for service improvement and influencing decision making through evidence and analysis? Want to play a key role in shaping the delivery of services that support millions of customers across the UK? If so, come and join us as an Operational Management Information Developer within the Working Age Services Directorate in the Digital Transformation Group. The Working Age Data and Performance Team sits at the heart of DWP's Digital Transformation Group, providing the analysis, performance insight and resource planning that help drive continuous improvement across Working Age services. Working with Operations, Digital teams and senior stakeholders, including Directors and Ministers, you will use data and insight to understand performance, identify opportunities for improvement and support evidence based decision making. You'll contribute to the development of performance measures and process indicators, test hypotheses, evaluate outcomes and help shape data driven initiatives that improve services for our customers. This is an exciting opportunity to join a high profile team where your work will directly influence how Working Age services are delivered, helping to drive efficiency, improve customer outcomes and support strategic decision making across the department.

• Produce insightful management information, analysis and visualisations using Power BI or similar tools to support operational and strategic decision making.
• Develop robust analytical products using SQL or similar programming languages, ensuring outputs are accurate, reproducible and quality assured.
• Combine and interrogate data from multiple sources to generate meaningful insights, identify trends and inform business improvements.
• Lead analytical and performance improvement projects, delivering outcomes at pace and managing competing priorities effectively.
• Identify opportunities to improve service delivery and operational performance across Universal Credit and Labour Market services.
• Build effective relationships with stakeholders at all levels, including senior leaders, to influence decisions and deliver complex outcomes.
• Present complex data and technical findings in a clear and engaging way for non-technical audiences.
• Foster an inclusive and collaborative working environment while contributing to team objectives, efficiencies and continuous improvement.