Analytics Engineer II – Product Lifecycle (Remote)

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Job Overview

The Analytics Engineer II – Product Lifecycle position at Collins Aerospace involves enhancing product performance by leveraging data analytics to drive efficiencies throughout the product lifecycle. The successful candidate will work collaboratively across teams to uncover insights that contribute to decision-making processes, improve product development, and influence service offerings. This role demands a blend of technical expertise, analytical skill, and strategic thinking to transform raw data into actionable business intelligence that supports the organization’s objectives.

Job Responsibilities

• Design and develop advanced analytics solutions to assess product performance metrics throughout the lifecycle.
• Collaborate with cross-functional teams to identify key performance indicators (KPIs) and monitor analytics to inform product decisions.
• Utilize statistical and predictive modeling techniques to enhance forecasting accuracy and improve product offerings.
• Implement data visualization tools to create clear and insightful reports for stakeholder communication.
• Conduct rigorous data quality assessments to ensure integrity and consistency of analytics outputs.
• Support product development teams with insights derived from data that drive innovation and improvements.
• Participate in continuous improvement initiatives, sharing best practices, and ensuring alignment with industry standards.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
• 3-5 years of experience in an analytics role within a product lifecycle context or similar industry.
• Proficiency in SQL and experience with data transformation languages such as Python or R.
• Familiarity with data visualization tools such as Tableau, Power BI, or similar software.
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical audiences.
• Understanding of statistical analysis and modeling techniques.
• Experience with cloud platforms and big data technologies is a plus.

Technologies & Tools

This position requires familiarity with a variety of technologies and tools. Primary technologies include SQL, Python, or R for data analysis, as well as Tableau or Power BI for data visualization. Experience with cloud computing platforms such as AWS or Azure is advantageous. Proficiency in data management tools and database systems will also be essential for managing and transforming large data sets effectively.

Ideal Candidates

The ideal candidate for the Analytics Engineer II – Product Lifecycle position will be a detail-oriented professional with a passion for data-driven decision-making. They should possess excellent communication skills to collaborate effectively with diverse teams and convey complex analytics insights clearly. The candidate should demonstrate strong critical thinking abilities, alongside a proactive approach to problem-solving. A curiosity for continuous learning, coupled with a strong desire to contribute to the company's innovation and improvement efforts, will make them a valuable asset to Collins Aerospace.