At a Glance
- Tasks: Analyse Navy data to support force readiness and decision-making.
- Company: Dark Horse Technologies, a leader in defence analytics.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Onsite position in Norfolk, Virginia with a focus on career development.
- Why this job: Make a real impact on Navy operations through data-driven insights.
- Qualifications: Navy experience, analytical skills, and proficiency in data tools required.
The predicted salary is between 75600 - 92400 £ per year.
Dark Horse Technologies is seeking experienced Navy and data analytics professionals to support COMNAVSURFLANT Force Generation (FGEN) Analytical Support in Norfolk, Virginia. The team will provide analytical expertise to support Surface Force readiness, force generation, resource decision-making, and senior leadership requirements. These positions will work closely with Navy stakeholders to analyze readiness and operational data across the PESTONI pillars—Personnel, Equipment, Supply, Training, Ordnance, and Infrastructure/Networks—and translate complex information into meaningful analysis, visualizations, risk assessments, and actionable recommendations for decision-makers. Positions are full-time and onsite in Norfolk, Virginia and require candidates with relevant Navy operational, staff, and/or analytical experience.
- Experience in the United States Navy as a Post-Command Commander afloat or equivalent.
- Five years’ experience on Echelon 3 or higher staff.
- Five years’ experience in database design and management.
- Five years’ experience in data analysis for complex projects.
- Experience with analyzing specific metrics embedded within the PESTONI pillars of analysis.
- Ability to develop a comprehensive understanding of the Surface Force’s business practices, primary (organic) data sources, secondary (non-organic) data needs, data gaps, and organic analytic capabilities to inform the development of a meaningful data visualization tool suite and predictive modeling needs for decision-makers at all levels.
- Demonstrated experience developing and applying machine learning models, predictive analytics, and AI-driven data interpretation to complex defense problems.
- Proficiency in leveraging modern data analytics platforms and languages (e.g., Python, R) to perform statistical analysis and build financial and operational risk models.
- Highly proficient and experienced with Microsoft Office, especially with Access, Excel, and PowerPoint.
- Experience in producing executive-level analytical products and reports.
- Master’s degree (or higher) from an accredited college or university (a major in an Analytics or Computer related field is highly desired).
- Secret security clearance required.
Senior Metrics and Data Analyst in Norfolk employer: Dark Horse Tech
Dark Horse Technologies is an exceptional employer for those passionate about data analytics and the Navy, offering a collaborative work culture in Norfolk, Virginia. Employees benefit from meaningful projects that directly impact Surface Force readiness, alongside opportunities for professional growth through hands-on experience with advanced analytical tools and methodologies. The company values its team members by fostering an environment where their expertise is recognised and utilised to drive strategic decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Metrics and Data Analyst in Norfolk
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dark Horse Tech.
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We think you need these skills to ace Senior Metrics and Data Analyst in Norfolk
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dark Horse Tech, 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 Dark Horse Tech. 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 Dark Horse Tech
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dark Horse Tech!
✨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.
