Data Analyst (Public Sector)

TL;DR

Data Analyst (Public Sector): Analyzing and managing complex data assets for UK government engagements with an accent on data mapping, governance, and stakeholder communication. Focus on producing structured documentation like data dictionaries and metadata to improve transparency across large-scale public sector systems.

Location: Must hold active SC clearance and be a UK resident for at least 5 years. Can work remotely, hybrid, or onsite in Milton Keynes or Godalming.

Salary: £50,000–£55,000 per annum

Company

hirify.global is an award-winning digital and data consultancy with over 35 years of experience delivering high-quality solutions for the UK public sector.

What you will do

• Manage, log, and prioritize large volumes of incoming data requests.
• Analyze and maintain system data mappings to ensure accuracy and traceability.
• Produce structured documentation including data dictionaries, metadata, and data flow diagrams.
• Translate complex technical data structures for non-technical stakeholders.
• Collaborate with delivery teams and engineers to support informed decision-making.
• Create reports and visualizations to facilitate effective data interpretation.

Requirements

• Active SC clearance is mandatory.
• Minimum 5 years of UK residency for clearance eligibility.
• Experience working with complex datasets in enterprise or government environments.
• Proficiency in tools such as SQL, Excel, Power BI, or Tableau.
• Understanding of data management principles like data lineage and governance.
• Experience working within Agile or digital service environments.

Nice to have

• Degree or equivalent qualification in a relevant field.

Culture & Benefits

• 25 days of annual leave plus bank holidays.
• 5% matched pension contributions.
• Private healthcare via Bupa and gym membership support.
• Continuous training access via Udemy Business.
• Collaborative, supportive work culture focused on professional growth.

Hiring process

• Initial call with the talent team to discuss the role and company.
• Interview with the Data team (career review and cultural fit).
• Final interview with the management team.