Raytheon Technologies-posted 3 months ago
$66,000 - $130,000/Yr
Full-time • Entry Level
Remote • Tucson, AZ
Transportation Equipment Manufacturing

The Naval Power Operations & Supply Chain (OSC) Business Process Data Analyst sits at the intersection of business operations and technical execution, requiring strong analytical skills, attention to detail, and the ability to translate complex data into understandable insights for various stakeholders such as procurement, material management, factory operations, and program management. This role requires working knowledge of Enterprise Resource Planning software (ERP), particularly in navigating common purchasing and manufacturing transactions, along with basic familiarity of SAP Business Warehouse structures. A solid understanding of ETL frameworks, data pipelines, and report performance tuning is essential to ensure scalable and reliable data flows across systems. Daily actions in this role involve end-to-end data management and reporting across multiple platforms, with a strong emphasis on finding ways to uncover opportunities and risks related to operational efficiency and the PR to PO lifecycle.

  • Support the entire data integration lifecycle including requirement collection, data discovery and profiling, development, user acceptance testing, and maintenance
  • Investigate data lineage and create robust documentation that defines how data is calculated and how it should be interpreted by the business
  • Receive, develop, and deliver critical ad-hoc requests for data analysis in time sensitive scenarios
  • Meet with stakeholders to collect feedback and implement improvements to existing reports
  • Develop, maintain, and optimize Power BI reports through query and data model optimization techniques
  • Implement trend analysis, root cause analysis, linear regression, pareto analysis, etc. and communicate insights to support decision making
  • Develop process maps using popular techniques such as BPMN to identify process inefficiencies and opportunities for cycle time improvement
  • Present and defend key findings supported by empirical data to leadership
  • Typically requires a Bachelor's and a minimum of 2 years prior relevant experience, or an Advanced Degree.
  • Minimum of 2 years working experience utilizing Microsoft Excel (or other data visualization software like Power BI, Tableau, etc.) to pull and transform data, perform pivot analysis, create actionable metrics and visualizations
  • Experience using Enterprise Resource Planning software (SAP or others)
  • Experience querying data in databases using SQL, CTEs, complex nested queries across various platforms (Snowflake, Oracle, MySQL, Access)
  • Experience with ETL tools and workflows (SSIS, Alteryx, Power Query, etc.)
  • Experience with database schema configurations, entity relationship diagramming, cardinality, etc.
  • Experience with statistical methods and analysis (regression, comparative methods, statistical process control, etc.)
  • Experience with Python scripting, object-oriented programming, API calls, Pandas, NumPy, etc.
  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays
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