Data Analyst

Job Description

About Lockheed Martin

Lockheed Martin is a leading technology innovation company that works with partners around the world to bring proven performance to customers’ toughest challenges. The company has employees based in many states throughout the U.S. and internationally, with business locations in many nations and territories. Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Job Description

Job ID: 670012BR

Date posted: Jul. 29, 2024

Program: IAMD/LT-P3/Sus Op Con

Job Title: Data Analyst

Description:

The candidate will support the IAMD PAC-3 Sustainment Operations – Data Analytics Team as a data analyst.

Responsibilities:

• Collect, process, and analyze data to develop solutions for program inquiries.
• Plan, conduct, and coordinate software development activities.
• Design, develop, document, test, and debug software that contains logical and mathematical solutions to questions in computer language for solutions by means of data processing, mining, processing, and summarizing data.
• Manage the quality assurance of data, query databases for stakeholder requests, and triage data issues for timely resolutions.
• Analyze large datasets, draw valid inferences, and prepare insights in narrative or visual forms, including dashboards.
• Set up and maintain data processes and new analytics capabilities.
• Produce and track key performance indicators.
• Formulate functional and technical requirements from business problems.
• Work in a fast-paced and dynamic environment across cross-functional teams and manage competing priorities.
• Work projects cradle to grave, starting with requirements generation, wireframing solutions, developing minimum viable product (MVP), to developing solutions all within product/stakeholder requirements.
• Seek innovative solutions as data sets, data tools, and scope increase.
• Utilize application software to enable data normalization, aggregation, and integration.

Basic Qualifications:

• Experience in Python, SQL, GitLab
• Experience in Oracle or MSSQL
• Experience in SAP and SAP HANA, Agile/Scrum
• Ability to obtain Secret Clearance
• Bachelor’s degree from an accredited college in a related discipline
• 2 years minimum professional experience

Desired Skills:

• IBM Cloud Pak for Data
• C#, VB, and .NET
• Machine Learning
• AI modeling
• Confluence
• Coding pipelines
• Scheduled jobs
• CI/CD
• Tableau
• Cognos Analytics
• Watson Studio
• Jupyter notebooks
• APIs
• Full-stack solutions

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

Clearance Level: Secret

Other Important Information:

• 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: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
• 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: 4×10 hour day, 3 days off per week

Application Window: The application window will close in 90 days; applicants are encouraged to apply within 5 – 30 days of the requisition posting date to receive optimal consideration.