£83 Per hour
Inside
Hybrid
Reading
Summary: The role of Data Analyst involves leading the design and delivery of advanced analytics solutions within a hybrid working environment in Reading. The position requires SC clearance and focuses on driving data-driven innovation while mentoring junior analysts. The successful candidate will collaborate with various stakeholders to shape enterprise data strategy and ensure compliance with data governance standards.
Key Responsibilities:
- 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
Key Skills:
- Data Analyst
- MOD experience
- SC cleared
- 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
- 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/DevOps methodologies
Salary (Rate): £83 per hour
City: Reading
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Analyst
+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/DevOps methodologies