Quality Data Analytics Engineer III
US-NV-Sparks
US Careers (External)
Req #: 44063
Type: Full-Time
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Overview: Do you want to join a team that's changing the world? Do you have a strong background as a Quality Data Analytics Engineer III? Then we're looking for you! Check out the job description and apply now! Put your skills to meaningful use, gain unique experience, and work with world-class team members with diverse backgrounds and expertise who share the same vision. Join the Panasonic Energy team today! Responsibilities: Meet the Recruiter: Will Downey Shift: Monday-Friday Department: Quality Job Summary: Panasonic Energy Corporation of North America (PECNA) is seeking ambitious experienced engineers to lead the world's largest lithium ion battery initiative. With superior battery designs and the fastest manufacturing lines in the world, Panasonic is producing millions of batteries per day at the Gigafactory to support Tesla's electric vehicle and energy storage businesses. Panasonic invites you to join us in this ongoing full-scale effort to electrify our society. At PECNA, experienced engineers continue to develop their skills to become experts in the fundamentals of lithium-ion cell technology and work to integrate that understanding with high speed, automated manufacturing methods to produce the highest performance and highest quality lithium ion batteries. In this experienced engineering role, you will be responsible for developing tools to analyze and summarize large datasets to improve product quality, reduce defects and enhance overall manufacturing efficiency. The ideal experienced candidate will apply advanced statistical methods and modeling to proactively explore key datasets based on business need. This experienced engineering role will define the statistical modeling standards and assist with educating other analyst team members on best practices. Additionally, they will identify gaps in existing data that would lead to further meaningful data insights for business use. Essential Duties: * Lead cross-functional collaboration, including quality engineers, process engineers and manufacturing teams, to develop and implement data-driven solutions to improve quality and efficiency. * Drive the formulation and execution of comprehensive strategies for analytical modeling throughout the entire lifecycle, encompassing data ccess, processing, aggregation, as well as model creation, deployment, and validation, in alignment with business requirements. * Efficiently analyze large datasets and develop predictive models to identify patterns and insights related to product quality and manufacturing efficiency. * Implement advanced statistical methods and data modeling processes to create algorithms to make impacts on business success. * Use expert knowledge to verify data models with subject matter experts and monitor the model's efficacy in production * Serve as a recognized authority in advanced analytical techniques such as statistical analytics, machine learning, deep learning, and more, providing subject matter expertise as an experienced engineer. * Architect and execute the development of data visualization tools and interactive dashboards, enabling high-level engineers to access real-time insights on manufacturing. * Identify gaps and provide solutions within current datasets to initiate new data acquisition projects aligned with specific business needs, leveraging advanced expertise as a high-level engineer. * Conduct comprehensive research and ongoing monitoring of emerging technologies and systems, devising strategic plans for the implementation of advanced analytical modeling in support of business objectives as a high-level engineer. Personal Protective Equipment (PPE) Requirements: * To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator. The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job. Qualifications: Requirements - Required and/or Preferred Education: * Basic/Required: Bachelor's Degree in Engineering, Data Science, Computer Science, Statistics, or related field. Essential Qualifications: * Minimum of 5+ years of professional or an equivalent combination of education and experience * Demonstrated expert experience working with big datasets in the following stages: acquisition, aggregation, analysis, and visualization * Expert understanding and knowledge in algorithms and advanced statistics * Proven track record with advanced analytical techniques (statistical analytics, machine learning, deep learning, etc.) * Programming skills for data science required (SQL, Python, R, Java, Matlab, etc.) * Tangible history of making large impacts to business from developing data modeling processes and using critical thinking mindset to improve processes. * Must be able to learn and understand equipment capabilities, operation flow, and data flow logics * Excellent oral and written communication skills required, ability to describe technical theory to technical and non-technical audience * Strong team working skills with other employees at all levels of an organization. * Evidence of exceptional ability. Panasonic follows a culture of full-cycle engineering where members will have full responsibility and accountability for their projects from start to finish. * Self-starter who works well independently and an outstanding ability to follow up with minimal direction and will focus on team success. * Able to manage multiple concurrent tasks in a fast-paced environment, effectively prioritize work, and deliver quality results. * A strong work ethic with a "get the job done" approach who consistently delivers excellent customer service, both internally and externally. Physical Demands: Physical Activities: (Percentage of time (equaling 100%) during the normal workday the employee is required to) * Sit: 20% * Walk: 50% * Stand: 20% * Lift: 10% Tools and/or Equipment: (Required frequency is: Not required (0%), Occasional (1-33%), Frequent (34-66%, Continuous (67-100%) * Keyboard/Computer: Continuous * Office Equipment: Continuous * Phone Continuous Required Lifting and Carrying: (Required frequency is: Not required (0%), Occasional (1-33%), Frequent (34-66%, Continuous (67-100%) * Up to 10 lbs.: Occasional * Up to 20 lbs.: Occasional * Up to 35 lbs.: Occasional * Team-lift only (over 35 lbs.): Occasional Benefits & Perks - What's In It For You: Panasonic Energy prioritizes total well-being and offers comprehensive benefits options to support physical, emotional, financial, social, and environmental health: * Highly inclusive and class-leading healthcare options to include family planning, mental health, and pet insurance * Employee assistance programs that support total well-being with complimentary session offered each and every month * Company-matched and fully vested 401K retirement program that starts immediately from date of enrollment * Annual bonus program, High5 employee recognition and awards platform, quarterly and annual employee recognition * Simplified access to self-guided and representative-supported short and long-term financial wellness and retirement planning * Educational Assistance & Reimbursement Program * Diversity, equity, an
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