Data Analyst

Job Description

COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID-19 variants pose in the workplace and ensuring we meet our commitments to national security.
To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees are required to follow onsite safety measures based upon the COVID-19 Community Level at the specific work location.
Description:Do you have a passion for talent and strategy? How about deriving workforce insights that leads to pivotal business decisions?
Digital Transformation (DT) is Lockheed Martin’s path to the future with its interconnected environment where data becomes information and information drives decisions that build value across the entire lifecycle. This includes how we support our workforce, as well. To help us along this journey Space is in need of a data analyst to solve complex talent problems and to help craft talent decisions and strategic objectives. This opportunity can be summarized in this way:
• Transform foundational reporting and analytics with a focus on how consumers will use the data to inform decisions
• Conduct insightful analysis aligned to business needs
• Bring insights from data analysis that leads to impactful talent decisions
This role falls within the Workforce Intelligence & Transformation (WIT) organization that leads strategic workforce planning, talent analytics, STEM programs and digital workforce transformation activities.
You will perform various types of analytics, visualize data to illustrate key findings, and develop presentations to inform leadership of human capital trends, insights and implications. You will support solutions that integrate people issues with business strategy by collecting and analyzing talent data and drawing conclusions from the data.
But it won’t be easy! Here are key challenges you’ll likely face:
• There are multiple systems to pull and report on data
• Understanding what information will provide the most value to our consumers and delivering it in a way that drives consistent use
• We're a lean organization with growing demand for more support in talent analytics
• Linking data/metrics to financial value and business impact
Additional activities and projects include:
• You will act as a data coach, working to improve the data literacy of employees who receive the information our team produces
• You will help transform our data from metrics into compelling stories for a variety of audiences
• Taking action to improve performance of our current analytics solutions
• Responsible for documentation to ensure that solutions are discoverable, understandable, and trusted
• Support enterprise HR initiatives focused on aligning HR data with our LM enterprise data strategy
Basic Qualifications:
• Experience collecting, compiling, analyzing, visualizing, synthesizing, and telling a story through quantitative and qualitative data
• Ability to translate research findings into easy-to-understand, actionable recommendations and strategies
• Experience in Tableau (e.g.: developing dashboards with multiple data sources, and calculated fields)
• Proven project management experience - aligning projects with business goals, constructing work plans, achieving milestones, and communicating the results across a stakeholder audience
• Effective written and verbal communication skills - (e.g.: confident, clear, and concise)
• Demonstrated experience providing accurate data and calculations, with unfailing attention to detail
• Experience translating requirements/requests from a functional, non-technical client into logical, database-specific requirements
• Focused attention to process improvement and efficiency
• Ability to run multiple projects simultaneously with overlapping deadlines
• Ability to work across organizations, geographies, levels, and cultural sensitivities
• Ability to work in a virtual team environment
Desired Skills:
• R, SQL, Python, or other programming experience
• Webi experience is highly desired as well as any of the following tools: AWS, MS Access, SQL, BI, Collibra, Slack
• PeopleSoft, BrassRing, or other HR Management System experience
• Data mining, integration and analytics
• Experience working with / across multiple data sources and systems of record to provide data solutions to business requirements
• Demonstrated ability to influence peers to implement solutions
• Proven critical thinking skills to strategically translate solutions into actionable plans
• Ability to work either independently or in a team environment, depending on the task
• Ability to work in a dynamic environment