At a Glance
- Tasks: Support Navy clients by analysing data and improving business processes.
- Company: Join a dynamic team at Norfolk Naval Shipyard.
- Benefits: Gain valuable experience and skills in a supportive environment.
- Other info: Opportunity for growth and learning in a collaborative setting.
- Why this job: Make a real impact on Navy operations while developing your analytical skills.
- Qualifications: HS diploma required; relevant degree and Excel expertise preferred.
The predicted salary is between 30000 - 40000 £ per year.
Duties
- Seeking a highly motivated
- Data Analyst
(Life Cycle Maintenance) to support Navy clients onsite at Norfolk Naval Shipyard, Portsmouth, VA.
The job demands a solid understanding of standard data, statistical, and financial analytics and business process improvement.
The candidate will assist senior analysts who advise management on the effectiveness of government programs and operations or the productivity and efficiency of agency operation.
Duties
- Enter, validate, organize, correct, and export ship configuration information and corrosion assessment data in CCIMS that is needed to support the Aircraft Carrier Class Maintenance Plan (CMP) and the Baseline Availability Work Package (BAWP).
- Retrieve and organize CCIMS data into formats that can be readily manipulated, analyzed and socialized with the technical community.
- Develop the data and prepare corrosion related reports for CPA and external activities (i. e. INSURV).
- Review impacts of ship configuration changes on CCIMS. Submit Selected Record Feedback Reports (SRFBs) when required.
- Participate in the CCIMS Configuration Control Board (CCB) as a functional user representative, if required.
- Participate in user testing of the CCIMS follow-on application.
- Attend corrosion related seminars/forums, if required.
Qualifications/Education
- HS diploma or equivalent.
- BA/BS degree in a relevant field involving data management is desired but not required.
- Strong verbal and written communication skills and interpersonal skills and possess the ability to learn.
- Understanding of ship equipment and systems, ability to read ships drawings and identify spaces utilizing the Navy ship compartment numbering scheme.
- Five or more years of experience with MS Excel spread sheet management.
- Knowledge of ship painting/coating processes used for ship structure, tanks, voids, plenums, bilges, etc. is a plus.
- Familiarity with CCIMS is a plus but not required.
- High proficiency in MS Office, with expertise in MS Excel to include the ability to develop Excel macros is required.
Skills and Abilities
- Problem formulation, analytical and problem-solving skills, with the ability to communicate in a clear and succinct manner.
- Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing and presenting findings.
- Must be proficient with Microsoft Office Suite with emphasis on Excel.
- Ability to work independently or within a team environment.
- Comfortable with taking the initiative and determining the best path forward given multiple valid approaches.
Physical Demands and Expectations
- Regular physical activity to include walking, climbing stairs, and standing; frequent periods of prolonged sitting may be required.
- Secret Clearance Required
Data Analyst in Norfolk employer: Full Scope
As a Data Analyst at Norfolk Naval Shipyard, you will join a dedicated team committed to supporting Navy clients with impactful data-driven insights. Our work culture fosters collaboration and continuous learning, providing ample opportunities for professional growth while contributing to vital government programs. Enjoy the unique advantage of working in a dynamic environment that values your expertise and encourages innovation in maintaining the efficiency of naval operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Norfolk
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We think you need these skills to ace 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 Full Scope, 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 Full Scope. 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 Full Scope
✨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 Full Scope!
✨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.
