Senior Data Analyst

Key Responsibilities:  

• Collect and analyze complex datasets, turning data into meaningful and actionable insights and metrics. 

• Use statistical and analytical techniques to find trends, interpret the data and study patterns that help influence business decisions and recommend changes in enterprise operations. 

• Perform analysis that helps the company improve efficiency, understand customer requirements, and increase profits. 

• Develop processes, tools and checklists to monitor and analyze data model performance and accuracy. 

• Deliver analytical insights in a manner that is scalable, repeatable, and automated. 

• Work with all Operational functions to identify leading and lagging indicators of operational performance in manufacturing, supply chain, warehousing, planning, and scheduling. 

• Develop and publish meaningful metrics and reports that will drive action towards business goals and objectives. 

• Participate in presentation of reports to key internal stakeholders, effectively communicating the steps taken to create the output. 

• Collaborate with global business teams to understand the problems and design scalable solutions. 

• Work with Global Technology to ensure that solutions are up to current standards and best practices. 

• Stay up-to-date on the latest technologies and build new skills in data engineering, technologies and platforms. 

Basic Qualifications:  

• BS in Engineering, Mathematics, Statistics, Analytics, Economics with 9+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 4+ years prior relevant engineering experience. 

• 4+ years as a Data Analyst, with a strong track record of designing and implementing data analytics solutions. 

• Predictive modeling experience. 

• Experience with Databricks, Snowflake, MapReduce, Spark or other Big Data platforms 

• Experience working in cloud platforms such as AWS and Azure. 

• Outstanding written and verbal communication skills in English. 

• Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across diverse teams. 

• Self-starter with high level of intellectual curiosity. 

• Strong analytical and hardworking problem-solving mindset 

Preferred Qualifications:  

• Experience in Aerospace & Defense Processes from Design to Manufacturing to After Sales & Support 

• Experience with building dashboards and navigating data visualization tools such as Tableau, Power BI, Qlik Sense 

• Broad understanding of gas turbine engine fundamentals and associated components. 

• Knowledge and experience in Data Governance, Architecture and Platforms 

• Strong learner who is comfortable learning new libraries and frameworks  

• Experience working in an agile environment. 

Role Type: Hybrid - Employees who are working in Hybrid roles will work regularly both onsite and offsite.