Note: The job is a remote job and is open to candidates in USA. 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.
Responsibilities
- 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
Skills
- 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
- 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
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
- Holidays
- This position is incentive plan eligible.
- 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.
- 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.
- (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.
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