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data analytics engineer

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Mount Pleasant, PA (In Person)

Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/30/2026

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Job Description

data analytics engineer Mount Pleasant, PA 1 DAYS AGO 22603576 Summary Mount Pleasant, PA In-Person Competitive Salary 0 Years Experience Bachelor's degree No Commission 40.00 hours per week / Day Shift / Full-Time Description The Opportunity At Hitachi Energy, we're helping customers around the world accelerate the transition to a decarbonized economy. Our work in improving the efficiency and resilience of the electrical grid gives us a powerful sense of purpose-and we're looking for professionals who share that drive. As part of our High Voltage Products Business Unit, the Data Analytics Engineer position will play a key role in delivering quality solutions that support grid modernization and sustainability. You'll collaborate with manufacturing teams, analyze customer feedback, and implement quality methodologies that ensure our products meet the highest standards. Your work will directly impact the reliability of energy infrastructure and contribute to reducing carbon emissions globally. This role is ideal for individuals who thrive in cross-functional environments, enjoy solving complex challenges, and are passionate about continuous improvement. If you're ready to make a meaningful impact in a company that values innovation, integrity, and collaboration-this is your opportunity to energize your career. Responsible to ensure compliance with applicable external and internal regulations, procedures and guidelines. How You'll Make an Impact Your Background More about us What We Offer Apply now Current employees apply here Hitachi Energy is an Equal Employment Opportunity (EEO) and Affirmative Action Employer encouraging diversity in the workplace. We welcome you to apply and want you to know that all qualified applicants will receive consideration for employment without regard to race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, protected veterans' status or any other legally protected characteristic.
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