Data Analyst Senior

Lockheed Martin • Lexington, KY

8d • Hybrid

About The Position

Lockheed Martin seeks a Data Analyst who will translate raw data into compelling, actionable stories that drive business and risk management decisions. The analyst will locate novel data sources, apply rigorous statistical methods, and deliver insights through dashboards, reports, and narrative visualizations while supporting the organization’s data governance initiatives. Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Data Analysts are extremely resourceful and able to find novel new data sources to enrich their analysis. They apply mathematical and statistical methods to business and risk management problems.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field (Master’s preferred).
• Experience designing solutions that consider networking concepts, protocols, network security methodologies, cyber‑threats, vulnerabilities, and cybersecurity principles.
• Knowledge of data administration, data‑standardization policies, and standards.
• Application of data‑mining, data‑warehousing, machine‑learning, and artificial‑intelligence theory/principles.
• Demonstrated understanding of network access, identity, and access management (e.g., PKI).
• Knowledge of programming language structures/logic and query languages such as SQL and object‑oriented design.
• Familiarity with secure coding techniques
• This position requires a government security clearance, you must be a US Citizen for consideration.

Nice To Haves

• Technology / Tool – Desired Proficiency IBM Cloud Pak for Data (CP4D) – Working knowledge
• Oracle / Microsoft SQL Server – Working knowledge (SQL querying, basic performance tuning)
• Microsoft Power BI Report Server – Proficient (dashboard design, DAX)
• Deltek COBRA – Working knowledge
• Microsoft SharePoint – Working knowledge
• SAP – Working knowledge
• Teamcenter – Working knowledge
• Scripting – Python, PowerShell – Basic to intermediate (data extraction, automation)
• Data modeling & metadata management tools – Familiarity
• Cloud & distributed data platforms (AWS, Azure, GCP) – Familiarity
• Additional analysis tools – Excel, STATA, SAS, SPSS – Familiarity
• Script languages – PERL, VBS (Windows/UNIX) – Basic
• Relevant certifications (e.g., IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, Security+) are a plus.

Responsibilities

• Mine, process, and summarize data; Manage the quality assurance of data scraping, 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; Ability to formulate functional and technical requirements from business problems; Program management of key tasks and resources to achieve cost and schedule
• Identify and acquire new internal and external data sources to enhance analyses.
• Extract, cleanse, and preprocess data from databases, APIs, and scraped sources while maintaining data quality standards.
• Work with structured data to solve tangible business problems after they’ve been architected, engineered, and deployed.
• Examine data from multiple disparate sources to provide new insight; design and implement custom algorithms, flow processes, and layouts for complex, enterprise scale data sets used for modeling, data mining, and research.
• Apply statistical and mathematical techniques to large data sets to uncover trends, patterns, and risk indicators.
• Translate findings into clear, business focused narratives, visualizations, and interactive dashboards (Power BI Report Server).
• Analyze and define data requirements, specifications, and data sources to provide actionable recommendations.
• Confer with systems analysts, engineers, programmers, and others to design applications that assess the validity of source data and subsequent findings.
• Identify hidden patterns or relationships in data, dissect problems, and examine interrelationships between seemingly unrelated data.
• Design, build, and maintain KPI dashboards that provide real time performance visibility for stakeholders.
• Produce regular analytical reports and ad hoc analyses that support decision making.
• Develop strategic insights from large data sets and present data in creative formats.
• Present technical information to both technical and non technical audiences.
• Participate actively in the Data Governance Working Group.
• Perform QA on data scraping and query processes; triage and resolve data issues promptly.
• Document data lineage, metadata, and analytical methodology in accordance with governance standards.
• Develop data standards, policies, and procedures; develop and implement data mining and data warehousing programs.
• Elicit functional and technical requirements from business owners and translate them into analytic solutions.
• Manage key analytical tasks and resources to meet cost, schedule, and quality objectives.
• Conduct queries and develop algorithms to analyze data structures and incorporate data from multiple tool sources.

Benefits

• Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
• Flexible schedules
• competitive pay
• comprehensive benefits
• Paid time off
• Holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior