> Markdown version of [/jobs/ext/3659022-data-analyst-staff](https://www.wearedevelopers.com/jobs/ext/3659022-data-analyst-staff). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst Staff - **Company:** Lockheed Martin - **Location:** Sunnyvale, CA, United States - **Salary:** $131,100.0 - $243,500.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Configuration Management, Python (Programming Language), Machine Learning, Microsoft Visual Studio, Standard Sql, SAP HANA, Tableau (Software), Technical Data Management Systems, Git, Data Analytics, Data Management, Software Coding, Alteryx - **Published:** October 9, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28094121/Data-Analyst-Staff-Florida-All-Cities-1301 ## About the Role * Minimum 1 year of experience delivering technical solutions in data science, analytics, or modeling/simulation tool deployment. * Familiarity with data management, governance, or analytics principles relevant to manufacturing efficiency and cost-savings initiatives. * Demonstrated ability to collaborate across multiple sites or programs and contribute to knowledge sharing in a virtual team environment. Desired Skills * Experience in software coding, especially in Python and SQL * Experience in configuration management with visual studio and git hub * Experience in Alteryx, Tableau, and HANA Studio * Experience applying data science-based technologies in a manufacturing environment, especially involving machine learning and/or artificial intelligence with interfaces to Manufacturing Execution Systems or Enterprise Resource Planning systems * Experience in Agile project management, leading a team to deliver solutions within budget and schedule constraints ## Description A purposeful, high-impact mission drives everything we do-delivering diverse products to our customers that warfighters rely on every day. Within the Mission Systems Production Operations' (MSPO) "One Factory" team atmosphere, you'll collaborate across multiple teams, organizations, product lines and factories, embodying full accountability to the program and continuously improving from concept to delivery. Join a community where learning, growth and leadership opportunities are abundant, giving you portable, enterprise-wide skills. Here, you'll build a career that makes a tangible difference for those who defend our nation. We are looking for a Data Science and Analytics Specialist to provide project management and hands-on implementation support for data science, analytics, governance, machine learning and artificial intelligence projects across the MSPO organization as a member of the Advanced Manufacturing Technology (AMT) organization. Develop and mature data technology projects at multiple MSPO sites to drive efficiencies and savings in manufacturing support costs. Help coordinate a virtual team of citizen data scientists at multiple sites in the identification, design, and deployment of data-related factory optimization opportunities. Champion team goals, drive collaboration across sites/programs/work centers, and facilitate knowledge sharing among team members. Stay informed of a wide variety of data science and related technical principles, theories, concepts, and applications to facilitate advanced technology insertion. Core responsibilities include: * Provide project management and hands-on implementation support for data science, analytics, governance, ML, and AI projects across the MSPO organization. * Develop and mature data technology initiatives at multiple MSPO sites to drive manufacturing efficiency, cost savings, and quality improvements. * Coordinate a virtual team of citizen data scientists to identify, design, and deploy factory optimization opportunities using manufacturing data. * Champion cross-site/program collaboration, knowledge sharing, and team goals across the Advanced Manufacturing Technology organization. * Represent MSPO on cross-Business Area roadmaps and technology projects, facilitating collaboration with RMS IFF, CDAO, IT, and Advanced Quality teams to identify and replicate innovative data-driven solutions.