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Military Aircraft Senior Data Analyst

About the Organization

Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.


About the Role

Redhorse Corporation is seeking a highly skilled Military Aircraft Senior Data Analyst to play a critical role in transforming Air Force aircraft maintenance through Condition-Based Maintenance Plus (CBM+) initiatives. Leveraging cutting-edge AI/ML technologies, you will directly impact the efficiency and effectiveness of aircraft sustainment, contributing significantly to national security. You will be a key player in enhancing data quality, leading program initiatives, and mentoring junior team members. This role offers high visibility within Redhorse and a chance to make a tangible difference in a high-impact environment.


Key Responsibilities
  • Lead program initiatives from inception to deployment, ensuring alignment with CBM+ business and mission objectives.
  • Develop, enhance, and maintain dashboards and data visualizations using Qlik Sense to support aircraft maintenance analytics and decision-making.
  • Enhance relationships with internal and external stakeholders to support ongoing CBM+ efforts.
  • Provide expert insights on maintenance practices to support AI/ML development.
  • Participate in engagement meetings, advising stakeholders on military aircraft data and trends.
  • Mentor junior team members and support strategic objectives related to predictive maintenance and data analytics.
  • Enhance quality control (QC) for maintenance data product models.


Required Experience/Clearance
  • Bachelor’s degree and 10+ years of relevant aircraft maintenance experience, including 2+ years in data analysis, or an equivalent combination of education and experience.
  • In-depth knowledge of Air Force maintenance practices and aircraft industry trends.
  • Proven ability to deliver data-driven solutions to complex maintenance challenges.
  • Strong leadership skills with experience guiding and mentoring junior analysts.
  • Proficiency in data visualization tools (Power BI, Qlik, Tableau, Excel) and statistical modeling (Weibull, Gamma distributions).
  • Ability to interpret Aircraft Technical Orders and apply general aircraft maintenance knowledge.
  • Strong communication skills capable of presenting technical findings to diverse audiences.
  • Experience with Maintenance Information Systems and Microsoft Office Suite.
  • Ability to work in a fast-paced, evolving environment while managing multiple projects.


Desired Experience
  • Advanced understanding of AI/ML applications in predictive maintenance.
  • Familiarity with data governance and data quality frameworks.
  • Knowledge of Department of Defense (DoD) data systems and Air Force-specific platforms.


Equal Opportunity Employer/Veterans/Disabled 

 

Accommodations:

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com

 

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.

This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

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Average salary estimate

$125000 / YEARLY (est.)
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$100000K
$150000K

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What You Should Know About Military Aircraft Senior Data Analyst, Redhorse Corporation

Are you ready to take your data analysis skills to the skies? Redhorse Corporation is on the lookout for a talented Military Aircraft Senior Data Analyst to join our dynamic team remotely. In this pivotal role, you'll be at the forefront of transforming Air Force aircraft maintenance with innovative Condition-Based Maintenance Plus (CBM+) initiatives. This means leveraging cutting-edge AI and machine learning technologies to boost the efficiency and effectiveness of aircraft sustainment, which plays a crucial part in national security. Your contributions will not only enhance data quality but also lead impactful program initiatives, mentor junior team members, and strengthen relationships with stakeholders. In your day-to-day, you'll have the chance to develop and maintain insightful dashboards and data visualizations using Qlik Sense, paving the way for informed decision-making in aircraft maintenance. You’ll participate in engaging meetings, sharing your expert insights into military aircraft data trends, and supporting predictive maintenance strategies. If you're someone with a strong background in aircraft maintenance, coupled with leadership experience and a knack for mentoring, this could be your perfect chance to make a real difference at Redhorse Corporation. Join us and be a part of something bigger; let’s make aviation safer and smarter together!

Frequently Asked Questions (FAQs) for Military Aircraft Senior Data Analyst Role at Redhorse Corporation
What are the key responsibilities of a Military Aircraft Senior Data Analyst at Redhorse Corporation?

As a Military Aircraft Senior Data Analyst at Redhorse Corporation, you will lead program initiatives, develop and maintain data visualizations using Qlik Sense, enhance relationships with stakeholders, and mentor junior team members. Your focus will be on improving aircraft maintenance through innovative CBM+ initiatives and using AI/ML technologies to deliver effective data-driven solutions.

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What qualifications are required to be a Military Aircraft Senior Data Analyst at Redhorse Corporation?

To qualify as a Military Aircraft Senior Data Analyst at Redhorse Corporation, you’ll need a Bachelor's degree and over 10 years of relevant aircraft maintenance experience, including at least 2 years in data analysis. Experience with data visualization tools, strong leadership skills, and a deep understanding of Air Force maintenance practices are also critical to succeed in this role.

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How important is data visualization for a Military Aircraft Senior Data Analyst at Redhorse Corporation?

Data visualization is extremely important for a Military Aircraft Senior Data Analyst at Redhorse Corporation. You’ll be responsible for developing dashboards and visual representations of data that help support aircraft maintenance analytics and decision-making, making your role essential for effective communication of complex data insights.

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What experience with AI/ML is beneficial for the Military Aircraft Senior Data Analyst position at Redhorse Corporation?

For the Military Aircraft Senior Data Analyst position at Redhorse Corporation, having an advanced understanding of AI/ML applications in predictive maintenance is highly beneficial. This expertise will enable you to effectively contribute to the implementation of data-driven strategies that improve aircraft maintenance outcomes.

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What makes Redhorse Corporation a good place to work for a Military Aircraft Senior Data Analyst?

Redhorse Corporation is a great place for a Military Aircraft Senior Data Analyst because of its commitment to innovation and excellence in national security. The collaborative environment, support for professional development, and focus on impactful work ensure that you will play a crucial role in transforming military aircraft maintenance while working with a team of dedicated professionals.

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Common Interview Questions for Military Aircraft Senior Data Analyst
Can you describe your experience with Condition-Based Maintenance Plus (CBM+) initiatives?

When answering this question, highlight any specific projects where you implemented CBM+ strategies, focusing on the outcomes and improvements in maintenance efficiency or safety. Emphasize your analytical skills and ability to leverage new technologies in enhancing maintenance practices.

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How do you approach data visualization for aircraft maintenance analytics?

In your response, detail your process for creating effective data visualizations, including the tools you prefer and how you ensure your visuals communicate key insights. Mention your experience with Qlik Sense or other tools and the importance of engaging stakeholders with clear, actionable data.

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What are some challenges you've faced in aircraft maintenance data analysis, and how did you overcome them?

Share specific challenges, such as data quality issues or integrating different data sources. Describe the steps you took to address these problems, highlighting your problem-solving skills and any collaborative efforts with your team or stakeholders.

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How do you keep abreast of industry trends in military aircraft maintenance?

Your answer should include resources such as professional associations, workshops, and seminars. Discuss any recent findings or trends you’ve incorporated into your work to demonstrate your commitment to continuous learning and improvement in the field.

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Can you explain how you would mentor junior analysts at Redhorse Corporation?

Describe your mentorship style and the strategies you use to guide junior analysts. Include examples of how you've previously supported development through one-on-one meetings, providing constructive feedback, or encouraging skill-building opportunities.

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What data analysis tools are you proficient in, and how have you used them in your previous roles?

List the data analysis and visualization tools you've worked with, such as Power BI, Qlik, Tableau, or Excel. Provide examples of specific projects where you utilized these tools to deliver insights that influenced decision-making in aircraft maintenance.

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Discuss your understanding of AI/ML applications in predictive maintenance.

In your answer, explain the role of AI and machine learning in predictive maintenance, such as identifying patterns in data and predicting equipment failures. Mention any direct experience you have had with implementing these technologies in past roles.

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How do you manage multiple projects and deadlines in a fast-paced environment?

Share your strategies for time management and prioritization. Discuss tools or methodologies you use to keep track of tasks and how you ensure that all projects meet their deadlines without compromising quality.

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What is your experience with presenting technical findings to non-technical audiences?

Describe how you've previously tailored your communication style for diverse audiences. Emphasize your ability to simplify complex concepts and make data-driven insights accessible for stakeholders who may not have a technical background.

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Can you provide an example of a data-driven decision you influenced in your previous roles?

Share a specific example where your analysis led to a significant decision in aircraft maintenance or operations. Detail the analysis process, the insights derived, and the outcomes that resulted from implementing your recommendations.

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Full-time, remote
DATE POSTED
March 26, 2025

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