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Senior Data Analytics Consultant - Public Sector and Defence

Graduate Recruitment Bureau

London

Hybrid

GBP 125,000 - 150,000

Full time

30+ days ago

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Job summary

Join a leading technology consultancy as a Senior Data Analytics Consultant, where your passion for data will drive strategic decisions in the public sector. You'll design and implement innovative analytics solutions, collaborate with multidisciplinary teams, and work on impactful projects that enhance data governance and decision-making. This hybrid role offers the flexibility of working from home while engaging with high-profile clients in National Security and Defence. If you're ready to make a tangible difference and thrive in a culture of innovation, this opportunity is perfect for you.

Qualifications

  • Strong academic background in STEM-related fields.
  • Experience in delivering data-driven solutions in consulting.

Responsibilities

  • Design and implement data analytics solutions for public sector needs.
  • Develop and optimise data models using SQL, Python, and R.

Skills

SQL
Python
R
Data Visualisation
Problem Solving

Education

STEM-related degree

Tools

Power BI
Tableau
AWS
Azure
Spark
Hadoop

Job description

Senior Data Analytics Consultant - Public Sector and Defence

Are you passionate about harnessing data to drive strategic decision-making? Join a leading technology consultancy delivering tailored solutions to high-profile clients in National Security, Defence, and the UK Civil Service. As part of a fast-growing team of 200+ consultants, you will play a crucial role in helping organisations optimise their data for impactful results.

With access to cutting-edge projects and a collaborative, innovation-driven culture, this role offers a unique opportunity to influence the way complex organisations govern, manage, and leverage data for maximum efficiency and security. This position is hybrid, split between working from home and on client sites, with an office always open for you in Guildford. Most clients are located in and around London.

Responsibilities
  • Design and implement data analytics solutions tailored to public sector needs.
  • Develop and optimise data models using SQL, Python, and R.
  • Build interactive dashboards and data visualisations with Power BI and Tableau.
  • Process and analyse large-scale datasets using Spark and Hadoop.
  • Work with cloud platforms such as AWS and Azure to enhance data capabilities.
  • Translate complex data insights into actionable recommendations for stakeholders.
  • Collaborate with multidisciplinary teams to develop scalable data solutions.
  • Support public sector clients in improving data governance and decision-making.
Requirements
Must-Have:
  • Strong academic background in a STEM-related field.
  • Experience delivering data-driven solutions in a consulting or technical role.
  • Proficiency in SQL, Python, R, and data visualisation tools.
  • Familiarity with cloud platforms such as AWS and Azure.
  • Ability to analyse and interpret large datasets for business impact.
  • Strong problem-solving skills and adaptability to client challenges.
Nice-to-Have:
  • Experience with big data technologies such as Spark and Hadoop.
  • Background in public sector, National Security, or Defence projects.
  • Familiarity with GDPR and data privacy regulations.
  • Existing security clearance or eligibility to obtain one.
The Company

A specialist technology consultancy delivering data-driven solutions for UK public sector clients. Known for innovation and technical excellence, they support mission-critical government initiatives in analytics, cloud computing, and security. Their team works on high-profile projects that make a tangible difference in public services and national security.

Apply now. Applications are reviewed within three working days. Suitable candidates will be contacted to discuss the next steps.

  • Company: Graduate Recruitment Bureau (Hiring for client)
  • Salary Notes: Up to £60k
  • Courses Considered: Chemical Engineering, Chemistry, Data Science, Economics, Electronic/Electrical Engineering, Life Science, Maths and Stats, Mechanical Engineering, Physics
  • Course Notes: Experience over academics, although likely to be smart
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