Description: You will be the Program Office Data Analyst – Level 4 for the Development Program Management Office (PMO) Business Integration team which is responsible for building and sustaining the Program Office performance dashboard that transforms raw data into actionable insight.

What You Will Be Doing

As the Program Office Data Analyst – Level 4 you will be responsible for designing, developing, and maintaining an enterprise‑wide performance dashboard while empowering the Development PMO to make data‑driven decisions.

Your responsibilities will include:

• Design, develop, and maintain the Program Office performance dashboard, ensuring accuracy, relevance, and ease of use for stakeholders.

  • Aggregate and analyze data from project‑management tools, financial systems, and operational databases to generate actionable insights.

  • Collaborate with cross‑functional teams to define key metrics, establish data‑collection processes, and deliver clear reporting solutions.

  • Identify trends, patterns, and improvement opportunities, presenting findings in concise visualizations and executive briefings.

  • Provide training and ongoing support to Development PMO members on dashboard functionality and data‑tool best practices.

What’s In It For You

We are committed to supporting your work‑life balance and overall well‑being, offering flexible scheduling options. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and flexibility you need to inspire, focus, and excel—if you have the passion and courage to dream big, work hard, and have fun doing what you love, we want to build a better tomorrow with you.

Who You Are

You are an analytical problem‑solver with strong experience in data analytics, dashboard development, and stakeholder engagement. You excel at translating complex data sets into clear visual stories, thrive in collaborative environments, and enjoy teaching others to harness data tools for better decision‑making. Your proactive mindset and attention to detail make you a trusted partner for the Development PMO.

Further Information About This Opportunity

MUST BE A U.S. CITIZEN – This position is located at a facility that requires special access. The selected candidate must possess an active Secret clearance to start.

Basic Qualifications:

• Bachelor's degree or higher
• Demonstrated expertise in data analytics, dashboard development, and data visualization tools (e.g., Tableau, Power BI, Qlik View) with a strong portfolio showcasing past projects
• Active Secret Clearance

Desired Skills:

• Bachelor's degree in Computer Science, Data Analytics, Business Administration, or a related field; advanced degree preferred.
• Proficiency in SQL, Python, or other programming languages for data manipulation and analysis.
• Program or Project Management Experience
• Earned Value Experience
• Excellent communication skills with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
• Strong attention to detail and problem-solving abilities, with a proactive and results-oriented mindset.
• Ability to thrive in a fast-paced, collaborative environment, managing multiple priorities and stakeholders effectively.
• Interest in learning about program management processes and a willingness to contribute to cross-functional initiatives beyond traditional data analytics responsibilities.

Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level: Secret with Investigation or CV date within 5 years

Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.

Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.

Schedule for this Position: 4x10 hour day, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.

The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.

Experience Level: Experienced Professional

Business Unit: AERONAUTICS COMPANY

Relocation Available: Possible

Career Area: Data Science

Type: Full-Time

Shift: First