Data Analytics Specialist (Remote)

Date Posted:

2023-03-07

Country:

United States of America

Location:

PW100: East Hartford 400 Main Street, East Hartford, CT, 06118 USA

Position Role Type:

Unspecified

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. 

Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future.

Innovation through diversity of thought. At Pratt & Whitney, we believe diversity of thought enables creativity, innovation, and a foundation for inclusion. By fostering an inclusive culture, we accept a shared accountability and responsibility to recognize, sponsor, coach, hire and promote talent equally. We welcome our employees to be their whole - best - selves at work because trust, respect and integrity, are a part of our DNA.

At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

The position will work within the Enterprise Capacity team where we have responsibility for ensuring industrial capacity insights are generated in accordance with standard work to support the entire value stream of operations (P&W Purchase, P&W Make, and Partnerships). This is done to ensure our producer base is prepared to support P&W’s demand in the future. The position will support P&W industrial needs to move to a more digital, and connected operation.

This is a remote position.

Responsibilities:

• Utilize digital applications such as SAP, Qlik, POWER BI and our internally developed Capacity Portal to create capacity risk analytics for internal requests for information.
• Create custom analytics in a Qlik environment to help industrial teams identify risk across their capacity planning systems.
• Create database connections between applications such as SAP, Solumina, Apriso, and custom built.
• Leverage our existing processes, tools and methods to identify part, supplier or operations level risks for specific programs and communicate the identified risks to the appropriate internal customers.
• Provide guidance to users inputting data regarding data quality and data integrity
• Work with our Digital Technology teams to ensure compliance to standard processes

Expected competencies:

• Be a creative problem-solver, and exhibit leadership through direct and indirect means. You must have both a desire and an ability to create value for our internal customers in ways that may not currently exist.
• Ability to organize, analyze and communicate complex data sets.
• Develop/author and present senior level presentations, and lead output communication meetings.

Required Qualifications:

• Bachelor’s Degree in engineering, data analytics, computer science or a related discipline
• 7+ years of experience in data analytics, database development, industrial engineering, or a related field.
• Proficient and experienced using SQL
• US Citizenship is required due to government programs

Preferred Qualifications:

• Experience using Java, Python, Visual Basic
• AGILE training
• Advanced data analytics using software applications beyond MS Office suite

What is my role type?

In addition to transforming the future of flight, we are also transforming how and where we work. We’ve introduced role types to help you understand how you will operate in our blended work environment. This role is:

Remote: Employees who are working in Remote roles will work primarily offsite (from home).

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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