Senior Systems and Data Analyst

🔥 16 hours ago

🌵 Arizona, Pennsylvania, +2 more states – Remote

🌵 Arizona – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $119.8k - $173.7k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Boeing

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1916

🚀 Aerospace

Aerospace • Defense • Space

Boeing is a multinational corporation that designs, manufactures, and sells airplanes, rotorcraft, rockets, satellites, telecommunications equipment, and missiles worldwide. It is one of the largest global aerospace manufacturers and is the second-largest defense contractor in the world. Boeing is organized into three primary business units: Boeing Global Services, Boeing Commercial Airplanes, and Boeing Defense, Space & Security. The company is also involved in innovation and sustainability efforts, aiming to reduce aviation emissions and produce next-generation aircraft. Boeing works closely with NASA on aerospace projects, including the Artemis moon mission. With a comprehensive global presence, Boeing invests in its employees and communities, supporting both technological advancements and social impact initiatives.

📋 Description

• Act as the single point of contact for assigned data domains; build and maintain strong relationships with business stakeholders and engineering teams • Elicit, document, and prioritize business requirements related to data definitions, access, transformations, and reporting needs • Translate business requirements into technical specifications and acceptance criteria for engineering • Partner with engineering and data platform teams to design, develop, test, and deploy data solutions • Extraction Transform Load/Extraction Load Transform (ETL/ELT, models, pipelines, reports) • Define and maintain data definitions, business glossary, canonical records, and metadata to ensure consistent use across the organization • Own data access processes: manage access requests, role-based access controls, and ensure compliance with security and privacy policies • Implement and monitor data quality rules, perform profiling, triage issues, and coordinate corrective actions with data owners and engineering • Map and maintain data lineage and end-to-end process flow documentation to support traceability and impact analysis • Establish Key Performance Indicators (KPIs) and Service Level Agreements (SLAs) for data quality, availability, and timeliness; report status and trends to stakeholders and leadership • Facilitate data governance forums, stewardship councils, and working groups to drive standards, policies, and issue resolution • Support onboarding of new data consumers by providing training, documentation, and self-service resources (data catalogs, playbooks) • Advocate for continuous improvement in data processes, automation, and observability.

🎯 Requirements

• 5+ years of experience as a data or business analyst • 5+ years of experience in Artificial Intelligence (AI) governance, data governance, or related governance / compliance roles • 5+ years of experience with data governance frameworks and compliance standards relevant to data management • 5+ years of experience partnering directly with product, platform, engineering, or technical operations teams to implement governance within delivery environments • 5+ years of experience with integrating export controls, sanctions, or government contract requirements (ITAR/EAR/GTC/CDRL) into data governance • 5+ years of experience working with Data Quality or Data Cleansing activities • 5+ years of experience demonstrating exceptional business, analytical, and problem-solving skills • Proficiency with SQL for data exploration and validation • Experience with data catalog/metadata tools (e.g., Collibra, Alation, Informatica) • Experience with data integration and orchestration tools (e.g., Airflow, Talend, DBT) • Experience with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing technologies (Snowflake, Redshift, BigQuery) • Knowledge of data modeling concepts (conceptual, logical, physical) and MDM principles • Experience with data quality tooling • Certifications in data governance, data management, or cloud platforms are a plus

🏖️ Benefits

• Health insurance • Flexible spending accounts • Health savings accounts • Retirement savings plans • Life and disability insurance programs • Paid and unpaid time away from work