Data Analyst Sr - E3

Posted 10 Hours Ago
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Lexington, KY, USA
Hybrid
77K-143K Annually
Senior level
Aerospace • Security • Cybersecurity • Industrial
The Role
Collects, processes, and analyzes large datasets to answer business questions and produce actionable insights, dashboards, and KPIs. Responsibilities include data mining, database querying, data quality assurance, issue resolution, maintaining analytics processes, defining technical requirements, and coordinating key tasks and resources. The role applies statistical, data warehousing, machine learning, cybersecurity, and data management principles.
Summary Generated by Built In
Standard Job Description
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.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
Basic Qualifications

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

Desired Skills

Technology / Tool – Desired Proficiency
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.

Pay Information

Full-Time Salary Range: $76700.00 - $142500.00

At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.  

Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.

  • Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
  • For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field
  • Master's degree
  • Experience designing solutions involving networking concepts, protocols, network security methodologies, cyber threats, vulnerabilities, and cybersecurity principles
  • Knowledge of data administration, data standardization policies, and data standards
  • Knowledge of data mining, data warehousing, machine learning, and artificial intelligence principles
  • Understanding of network access, identity and access management, and PKI
  • Knowledge of programming language structures, logic, SQL, query languages, and object-oriented design
  • Familiarity with secure coding techniques
  • Working knowledge of Oracle or Microsoft SQL Server
  • Proficiency with Microsoft Power BI Report Server and DAX
  • Working knowledge of Deltek COBRA, Microsoft SharePoint, SAP, or Teamcenter
  • Basic to intermediate Python and PowerShell scripting experience
  • Familiarity with data modeling and metadata management tools
  • Familiarity with cloud and distributed data platforms such as AWS, Azure, or GCP
  • Familiarity with Excel, STATA, SAS, or SPSS
  • Basic knowledge of Perl or VBScript
  • Relevant certifications such as IBM Certified Data Engineer, TOGAF, Certified Data Management Professional, or Security+

Lockheed Martin Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.

  • Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
  • Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
  • Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.

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The Company
HQ: Bethesda, MD
108,588 Employees
Year Founded: 1912

What We Do

Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.

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