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# Data Analyst Sr - E3

- **Company:** Lockheed Martin
- **Location:** Lexington, KY, United States
- **Experience:** Expert
- **Salary:** $76,700 - $142,500
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Microsoft Windows, Access Network, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Unix, Cloud Computing, CompTIA Security+, Information Systems, Computer Networks, Databases, Data Mining, Data Warehousing, Database Queries, Query Languages, Distributed Data Store, Perl (Programming Language), SPSS (Software), Identity and Access Management, Python (Programming Language), Network Security, Machine Learning, Meta-Data Management, Microsoft SQL Server, Object-Oriented Software Development, Oracle (Applications), Performance Tuning, Public Key Infrastructure, Windows PowerShell, Power BI, SAP (Applications), SAS (Software), Secure Coding, Microsoft SharePoint, SQL Databases, Stata, Google Cloud, Cobra, Togaf, Script Language, Information Technology, Data Analytics, Data Management, Programming Languages, Teamcenter (Software)
- **Published:** November 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9301672/data-analyst-sr-e3

## About the Role

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.

## 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