> Markdown version of [/jobs/ext/3785826-data-analyst-stf-e4](https://www.wearedevelopers.com/jobs/ext/3785826-data-analyst-stf-e4). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst Stf - E4 - **Company:** Lockheed Martin - **Location:** Stratford, CT, United States - **Experience:** Expert - **Salary:** $118,000.0 - $219,100.0 - **Contract:** Permanent contract - **Skills:** Big Data, Databases, Data Cleansing, Data Visualization, Database Queries, Digital Data, R (Programming Language), Monitoring of Systems, Python (Programming Language), Power BI, SQL Databases, Data Streaming, Tableau (Software), Information Technology, Data Analytics, Tools for Reporting - **Published:** October 16, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3451620880&tx=CT2927TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role You thrive in a collaborative, multidisciplinary engineering environment and are committed to delivering best-in-class products and solutions., * Bachelor's degree from an accredited college or equivalent experience/combined education. * 5+ years hands-on experience in data analytics, preferably within quality, manufacturing, or aerospace environments * Knowledge of statistical analysis, predictive modeling, and data visualization tools (Python, R, SQL, Tableau, Power BI, or equivalents) * Strong experience with data cleaning, mining, summarization, and database extraction; ensuring data quality and hygiene * Ability to translate complex statistical findings into clear, business-focused stories and recommendations * Experience with process improvement methodologies (Six Sigma) and KPI development/tracking * Program/project management experience-able to scope, plan, and deliver analytics initiatives on schedule and within scope Desired Skills * Background in a STEM discipline (e.g., engineering, computer science, physics, mathematics, or a related field). * Direct experience with Sikorsky quality systems, inspection processes, or rotary-wing manufacturing/maintenance environments * Prior work on digital transformation of shop-floor or paper-based data streams * Knowledge of inspection optimization, process variation control, or alerting/monitoring systems ## Description This role sits at the intersection of analytics, digital transformation, and quality operations. You'll shift the organization from reactive reporting to proactive, insight-driven action. A core focus is delivering a newly improved quality analytics system over the finish line and beyond, while also building rapid-turn analysis capabilities and long-term digital tools for shop-floor data, inspection optimization, and process variation control. This is a high-impact individual contributor where your analytics directly enable faster, better quality decisions., Collect, process, and analyze quality data to develop immersive, actionable narratives that answer pressing business questions Apply proven statistical methods to mine, process, and summarize large datasets; translate insights into tangible actions that drive cost, schedule, and quality improvements Identify and integrate novel data sources to enrich analysis; apply mathematical and statistical methods to business and risk management problems Design, build, and maintain dashboards and visual reporting tools that make complex quality insights accessible to stakeholders Manage the quality assurance of data scraping, database queries, and stakeholder requests; triage and resolve data issues for timely resolution Produce and track key performance indicators (KPIs) that matter to Sikorsky's quality and mission assurance goals Formulate functional and technical requirements from business problems; program-manage key tasks and resources to deliver on cost and schedule Partner with subject-matter experts and cross-LM analytics professionals to accelerate the systems and sustain its evolution Develop tools and workflows for daily business rhythms reducing routine data requests are fulfilled in hours Lead inspection optimization and process variation analysis; design alerting and monitoring systems for real-time process control Drive digital transformation of shop-floor data, transitioning from paper-based or inaccessible sources into structured, analyzable digital formats; develop new inspection methods and variation-control frameworks