Data Analyst - Sc cleared
Job in
Reading, Berkshire, RG1, England, UK
Listed on 2026-02-12
Listing for:
CBSbutler Holdings Limited trading as CBSbutler
Full Time
position Listed on 2026-02-12
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Data Warehousing
Job Description & How to Apply Below
+Hybrid working in Reading
+SC cleared role
+Inside IR35
+£83 ph
Skills:
+Data Analyst
+MOD experience
+SC cleared
Are you an experienced SC cleared Data Analyst ready to lead impactful, data-driven innovation?
We're looking for a Principal Data Analyst to drive the design and delivery of advanced analytics solutions that inform strategic decisions and unlock business value.
In this role, you'll be at the forefront of our data journey - leading technical initiatives, mentoring colleagues, and influencing how the organisation harnesses data.
What You'll Do
Lead the design and delivery of complex analytics and insight solutions across multiple projects
Oversee dashboarding, reporting, and automation workflows using SQL and cutting-edge tools
Define and implement best-practice data governance, security, and compliance standards
Collaborate with architects, engineers, and business leaders to shape enterprise data strategy
Inspire and guide stakeholders to make informed, data-driven decisions
Mentor and develop junior analysts, enhancing team capability
Innovate - adopting emerging technologies and driving continuous improvement in data practices
What You'll Bring
Deep understanding of data lifecycle, governance, and quality principles
Advanced experience with SQL and data warehousing tools
Expertise in data visualisation (Power BI, Tableau) and report automation
Proven track record in translating complex datasets into powerful business insights
Strong leadership, mentoring, and communication skills
Ability to shape technical direction and lead data-driven initiatives
Core Expertise (Must-Have)
MOD Experience
Skilled in data modelling and dashboard design for future-proofed solutions
Strong knowledge of data validation and QA processes
Proven expertise in data warehousing and cloud/hybrid data environments
Deep understanding of data security, ethics, and privacy
Experience managing multidisciplinary team workloads and work packages
Familiarity with Agile/Dev Ops methodologies
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