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Metrics Data Analyst-Washington DC

Serco

Position Description & Qualifications If you love high profile and challenging programming projects supporting the US Navy, Serco has a great opportunity for you! We are seeking a Metrics Analyst with Navy experience to help senior leaders leverage data for strategic decision-making. This role is ideal for a former Navy professional who understands shipboard operations, readiness, and maintenance, and knows how to guide the development of impactful dashboards. You won’t just build dashboards—you’ll shape what data matters most and how it should be presented working in the Washington DC metro area. This individual will play a vital role in engaging senior Navy leaders, leveraging their comprehensive understanding of shipboard operations and their ability to provide valuable insights through data analysis. Ideally, we are seeking a candidate who has served onboard ships, in a shipyard environment and/or with past experience working on Navy maintenance metrics and analytics, particularly someone with prior experience as a Surface Warfare Officer (SWO) Junior Officer (JO). The ideal candidate will possess a deep understanding of shipboard maintenance, enabling them to contextualize data analysis within the unique challenges and requirements of the naval environment. In addition to shipboard experience, the candidate should demonstrate a strong background in data analytics, including proficiency in statistical analysis, data visualization, and advanced analytic techniques. The ability to extract meaningful insights from complex datasets and present them in a clear and concise manner is crucial. Moreover, experience working with diverse data sources and applying advanced methodologies such as Artificial Intelligence (AI) and Machine Learning (ML) will be highly valued. In this role, you will: Apply shipboard maintenance experience and data analytics expertise to support the chain of command from senior Navy leaders to waterfront project managers and specialists in making informed ships maintenance and logistics decisions. Collaborate with stakeholders to gather and analyze relevant data from shipboard operations and other sources. Employ statistical analysis and data visualization tools to effectively extract insights and communicate findings. Develop data-driven reports, briefings, and presentations for senior Navy leadership. Translate complex technical data into executive‑level insights, reports, and recommendations. Support the development of metrics frameworks, ensuring alignment with Fleet and Headquarters strategic objectives. Foster strong working relationships with Navy personnel and stakeholders to ensure data analytics efforts align with organizational objectives. Provide strategic guidance on the design and application of dashboards in Power BI, Tableau, and Jupyter. Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing and implementation activities explaining their findings and recommendations for managers, executives, and other officials. To be successful in this role, you must have: Bachelor’s Degree and 6 years of relevant experience. US citizenship and an active DoD Secret Security clearance. Strong background in data analytics, including experience with statistical analysis, data visualization, and advanced analytic techniques in a DOD setting. Proficiency in leveraging data to support decision‑making processes and drive operational improvements. Excellent communication skills, with the ability to effectively convey complex data insights to senior Navy leaders. Familiarity with data sources and systems commonly used in the naval environment. Advanced competency with Microsoft Office suite of tools (i.e., Word, PowerPoint, Excel, etc.). Experience with data visualization using Qlik and/or Tableau. Minimal 10% travel is expected. Additional Desired Experience and Skills NAVSEA or Navy experience. Experience with Depot‑level Overhaul, Maintenance and Modernization activities. Algorithm writing experience with Python and similar AI / ML languages desired. Familiarity with Navy maintenance and readiness data systems (e.g., OARS, VSB, CASREP, or equivalent). DoD experience required or Naval surface ship experience preferably. Education or certification in data analytics, computer science, or a related field is preferred. If you are interested in supporting and working with our NAVSEA efforts, then submit your application now for immediate consideration. It only takes a few minutes and could change your career! Salary and Benefits Salary range: The range for this position can be found at the top of this posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job‑related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long‑term incentive opportunities. Medical, dental, and vision insurance. Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract. 401(k) plan that includes employer matching funds. Tuition reimbursement program. Life insurance and disability coverage. Optional coverages that can be purchased, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection. Birth, adoption, parental leave benefits. Employee Assistance Plan. Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. #J-18808-Ljbffr

Vacancy posted 12 hours ago
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