Analytics Engineer II – Product Lifecycle (Remote)

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Written by AI from the job title and company, not by Collins Aerospace, so some details may not match this job. The employer's own page has the real description.

Overview

The Analytics Engineer II – Product Lifecycle at Collins Aerospace plays a critical role in harnessing data analytics to optimize the product lifecycle and enhance operational strategies. This position involves collaborating with cross-functional teams to analyze data trends, generate actionable insights, and support decision-making processes. The ideal candidate will possess a strong analytical mindset and the ability to transform complex data into understandable reports that can drive strategic initiatives within the organization.

Job Responsibilities

• Analyze product lifecycle data to identify trends, inefficiencies, and opportunities for improvement.
• Develop and maintain analytical reports and dashboards to facilitate data-driven decision-making.
• Collaborate with product management teams to define key performance indicators (KPIs) and metrics.
• Coordinate with engineering and operations teams to gather data requirements and ensure data quality.
• Implement data models that support predictive analytics for product lifecycle management.
• Provide insights and recommendations to stakeholders based on analytical findings.
• Participate in data governance initiatives to maintain data integrity and compliance.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in data analytics or a related field, preferably within a product lifecycle context.
• Proficiency in data visualization tools such as Tableau, Power BI, or equivalent.
• Strong programming skills in SQL and Python; familiarity with other programming languages is a plus.
• Experience with data warehousing concepts and ETL processes.
• Excellent problem-solving skills and a strong attention to detail.
• Ability to communicate complex information effectively to non-technical stakeholders.

Technologies & Tools

The Analytics Engineer II will primarily utilize a range of technologies and tools including SQL databases for data manipulation, Python for data analysis, and advanced data visualization platforms like Tableau or Power BI for reporting. Familiarity with cloud services such as AWS or Azure may also be beneficial, as these platforms support data storage and processing needs for analytical projects.

Ideal Candidates

Ideal candidates for the Analytics Engineer II position will possess a blend of technical proficiency and analytical skills, coupled with a proactive approach to problem-solving. They should demonstrate strong collaboration capabilities and the ability to work effectively in cross-functional teams. Furthermore, possessing a curiosity-driven mindset and a commitment to continuous improvement will significantly enhance their effectiveness in this role. Strong communication skills are essential for translating analytical insights into strategic recommendations for various stakeholders.