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# Data Analyst Senior

- **Company:** Lockheed Martin
- **Location:** Lexington, KY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $98,300.0 - $170,315.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Microsoft Windows, Access Network, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Unix, Cloud Computing, CompTIA Security+, Information Systems, Computer Networks, Databases, Data Governance, Data Mining, Data Warehousing, Database Queries, Query Languages, Distributed Data Store, Document-Oriented Databases, Perl (Programming Language), IBM Cloud Computing, SPSS (Software), Identity and Access Management, Python (Programming Language), Network Security, Machine Learning, Metadata, 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:** July 15, 2026
- **Apply:** https://www.lockheedmartinjobs.com/job/lexington/data-analyst-senior/694/97802395712

## 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

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.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.

## 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

Key Responsibilities
Data Acquisition & Enrichment

 * 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.
Analysis & Insight Generation

 * 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.
Reporting & KPI Management

 * 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.
Data Governance & Quality

 * 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.
Requirements & Program Management

 * 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.
Tool & Platform Utilization

 * Leverage IBM Cloud Pak for Data, Oracle/SQL Server, SAP, Deltek COBRA, SharePoint, Teamcenter, and cloud platforms (AWS, Azure, GCP, Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: Non- standard 40 hour work week as assigned by leader


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