- Collect and analyzecomplex 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-dateon the latest technologies and build new skills in data engineering, technologies and platforms.
- BSin Engineering, Mathematics, Statistics, Analytics, Economics with 4+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 2+ years prior relevant engineering experience.
- 2+ 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
- 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.
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Associate Data Analyst - bangalore, India - Raytheon Technologies
Description
Unspecified
Key Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Role Type: Hybrid - Employees who are working in Hybrid roles will work regularly both onsite and offsite.