Data Analyst in Peterborough

Data Analyst in Peterborough

Peterborough Full-Time 77500 - 176000 £ / year (est.) No working from home possible
Booz Allen Hamilton

At a Glance

  • Tasks: Analyse data to support strategic decisions and develop automated analytics.
  • Company: Join Booz Allen, a leader in innovative data solutions.
  • Benefits: Enjoy competitive salary, health benefits, and professional development opportunities.
  • Other info: Collaborate with military and international teams for real-world applications.
  • Why this job: Make an impact with cutting-edge data analytics in a dynamic environment.
  • Qualifications: Experience in data science and programming languages like Python or R.

The predicted salary is between 77500 - 176000 £ per year.

We are seeking a highly motivated Data Analyst to support USAFRICOM by delivering advanced data analytics, automation, and intelligence support capabilities that enable data-driven operational and strategic decision-making. In this role, you will apply data analysis best practices and tradecraft techniques to process, store, and quantitatively exploit multi-source datasets such as Publicly Available Information (PAI) and Commercially Available Information (CAI).

You will develop and implement automated analytics, conduct large-scale quantitative analysis, and leverage programming and scripting tools such as Python, R, Java, Spark, Databricks, and Azure technologies to transform complex data into actionable intelligence products. A core responsibility includes ensuring compliance with Intelligence Community directives, data security requirements, operational planning standards, and data quality practices throughout all analytical activities.

You will clean, organize, integrate, and maintain structured and unstructured datasets while developing scalable data models, dashboards, visualizations, and analytical products that effectively communicate findings to technical and non-technical stakeholders. Working closely with military personnel, partner nations, policymakers, law enforcement organizations, and cross-functional teams, you will identify customer requirements, translate operational needs into analytical solutions, and support the development of fused intelligence products.

You will document analytic methodologies and processes, conduct exploratory and operational analysis of large datasets, and balance accuracy with operational timelines to support mission objectives. Additionally, you will provide formal and informal reports, briefings, presentations, talking points, and decision-support materials while contributing to customer outreach, stakeholder engagement, and reporting or accountability mechanisms.

As a subject matter expert in data analytics, PAI, and CAI exploitation, you will research, evaluate, and recommend emerging technologies, tools, and analytical methodologies to improve mission effectiveness and operational understanding. You will participate in national and international meetings, committees, symposiums, and evaluations of analytical software, tools, and datasets in support of continuous capability enhancement.

This role requires strict adherence to operational security procedures, Intelligence Community tradecraft standards, and information-sharing directives, and may involve the use of advanced collection techniques within DoD-approved managed attribution environments. The ideal candidate will demonstrate the ability to independently synthesize complex information, manage multiple competing priorities, and deliver high-quality analytical products that support strategic and operational intelligence requirements.

You Have

  • Experience in data science, data engineering, or quantitative analytics, including ETL development, data integration, data modeling, automation, and geospatial or geo-enabled datasets
  • Experience leveraging programming and scripting languages such as Python, R, or Java for data analysis, automation, and large-scale data processing
  • Experience with big data platforms and cloud-based technologies, including Databricks, Azure, or Spark
  • Experience working with Publicly Available Information (PAI), Commercially Available Information (CAI), or multi-source intelligence datasets
  • Knowledge of machine learning (ML), artificial intelligence (AI), automation, and advanced analytical techniques
  • Ability to query, synthesize, and interpret large datasets to identify trends, insights, and operational relevance
  • Ability to manage multiple projects and priorities in fast-paced environments while meeting tight deadlines
  • Ability to work collaboratively across teams and translate customer requirements into actionable analytical solutions
  • TS/SCI clearance
  • Bachelor’s degree in Mathematics, Statistics, Operations Research, Engineering, Data Science, or Computer Science

Nice If You Have

  • 2+ years of experience supporting a Combatant Command environment
  • Experience with operational planning policies, ICD-203, ICD-501, ICD-206, or Intelligence Community tradecraft standards
  • Experience delivering briefings and presentations to technical and non-technical audiences
  • Experience developing dynamic dashboards and real-time operational visualizations
  • Experience supporting fused intelligence production and documenting analytic methodologies
  • Experience evaluating and testing analytical software, datasets, and mission tools
  • Experience with advanced collection techniques or managed attribution environments
  • Possession of strong written and verbal communication skills
  • Master’s degree in Mathematics, Statistics, Engineering, Data Science, or Computer Science

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation & Benefits

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. Salary for this position is determined by various factors, including location, education, skills, and experience, and is projected to range from $77,500.00 to $176,000.00 (annualized USD). The posting will close within 90 days from the posting date.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Analyst in Peterborough employer: Booz Allen Hamilton

Booz Allen is an exceptional employer that prioritises employee well-being and professional growth, offering a comprehensive benefits package that includes health, financial, and retirement options, alongside opportunities for tuition assistance and work-life balance. Our collaborative work culture fosters innovation and supports employees in delivering impactful data analytics solutions to critical missions, particularly within the dynamic environment of USAFRICOM. Join us to be part of a team that values your contributions and empowers you to excel in your career while making a meaningful difference.

Booz Allen Hamilton

Contact Details:

Booz Allen Hamilton Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in Peterborough

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We think you need these skills to ace Data Analyst in Peterborough

Data Analysis
Automation
Programming (Python, R, Java)
Big Data Platforms (Databricks, Azure, Spark)
ETL Development
Data Integration
Data Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Booz Allen Hamilton, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Booz Allen Hamilton. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Booz Allen Hamilton

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.