We are seeking an experienced Data Analyst to join a rapid Discovery and Alpha phase within a critical government programme. The role requires driving data landscape mapping, stakeholder engagement, and outcome-focused analytics to uncover business critical insights. Key requirements include Basic BPSS security clearance, proven government experience, and strong SQL/Power BI/Tableau skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
- Data Analyst
- Rate: £400 Outside IR35
- Duration: 6 to 8 weeks
- Location: Fully remote
- Security Clearance: Basic BPSS required
About the role
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We are seeking an experienced, stakeholder savvy Data Analyst to join a rapid Discovery and Alpha phase within a critical government programme
This role requires an outcome focused approach. We need a collaborative problem solver who can engage directly with senior stakeholders, uncover business critical insights, and translate complex data into clear, actionable, outcome focussed deliverables.
Key Responsibilities
- Drive Discovery: Map out existing data landscapes, identify data gaps, and evaluate data quality across legacy and emerging systems.
- Stakeholder Engagement: Facilitate workshops, challenge assumptions, and translate complex data concepts into clear business narratives for non-technical leadership.
- Define Metrics & Benchmarks: Establish meaningful KPIs and baseline performance metrics to measure success entering the Beta phase.
- Outcome-Led Analytics: Model data scenarios to validate early hypotheses and support user research and policy teams with evidence backed insights.
- GDS / Outcome Alignment: Deliver clear data recommendations and artefacts aligned with GDS (Government Digital Service) Service Standards.
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What We’re Looking For
- Security Vetting: Basic BPSS required
- Proven Government Experience: Previous experience operating in Discovery and Alpha phases within central or local government.
- Strong Stakeholder Management: Excellent communication skills; confident in presenting to senior sponsors and navigating conflicting requirements.
- Data Visualisation & Storytelling: Ability to turn raw data into intuitive visual dashboards, mapping journeys, and structured options frameworks.
- Tooling Proficiency: Strong SQL and hands on experience with tools like Power BI, Tableau, or R/Python for exploratory data analysis
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