Remote role with infrequent travel to London - Outside IR35
ACTIVE CTC (or SC) & NPPV 2 or above Clearance required - Please only apply if you hold these clearances.
We are seeking a highly capable Data Analyst / Data Engineer to join a multidisciplinary transformation team delivering a major public sector redesign programme. The role requires an individual with strong analytical and interpersonal skills who can work proactively with large operational data sets to generate insight, models, and evidence that inform key workstreams across operating model design, logistics, organisational change, and business case development.
This role suits a confident self-starter who can thrive in a complex and fast-moving environment, balancing analytical depth with strong communication and collaboration across technical and non-technical stakeholders.
Key Responsibilities
Extract, cleanse, and analyse complex datasets from multiple systems and sources to identify trends, drivers, and opportunities for improvement.
Develop and maintain analytical models and visualisations to support operating model, logistics, and financial workstreams.
Provide insight and recommendations that directly inform design decisions, cost models, and business case assumptions.
Support the development of key performance indicators and metrics for future operating and transitional models.
Present findings clearly and persuasively to senior stakeholders, tailoring analysis to different audiences.
Work collaboratively with project managers, operating model designers, cost modellers, and change managers to integrate analytical outputs into programme deliverables.
Maintain strict data integrity and confidentiality, adhering to all relevant data protection and security policies.
Skills and Experience Required
Essential:
Current NPPV Level 2 and CTC (or SC) security clearance.
Proven experience analysing large datasets in complex or regulated environments.
Proficiency with analytical tools and languages (e.g. SQL, Power BI, Python, R, or advanced Excel).
Ability to interpret operational, financial, and performance data to inform design or policy.
Strong stakeholder engagement and communication skills.
Proactive, self-motivated, and able to work independently within a multidisciplinary environment.
