Data Analyst Sr - E3

Job Number 2397

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

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

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

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.

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.