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    Industrial Methods Data Analyst 2 - Greenville, United States - Michelin

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    Description

    Industrial Methods Data Analyst 2

    Michelin is hiring

    US0 Central Passenger Industrial Direction Headquarters: Come join our exciting team prototype leaders, process experts, industrializers, and strategy leaders at our central industry headquarters, located at the Donaldson Center campus in Greenville, South Carolina. Our diverse team is responsible for the vision and introduction of new process and product technologies in our North American passenger car / light truck tire factories. We also provide support and expertise for current technologies. These technologies range from extrusion to tire-building to tire vulcanization, to measurements/profilometry and associated data systems. We work with product developers and machine developers to choose the right solutions for our factories and our future in our Manufacturing Facilities throughout the U.S., Mexico, South America, and Canada.

    MISSION :
    The industrial Methods Data Analyst 2 treats, structures, collects, analyzes and drives the use of heterogeneous, complex and/or cross-functional datasets in the industrial process. He/she influences the industrial teams' use of data in the deployment of new processes and the optimization of existing processes. He/she works to find new and innovative ways to develop levers that create value for the company. The Data Analyst Level 2 (also sometimes referred to as a data miner) is responsible for collecting, analyzing and exploiting available and relevant data to improve activities-steering, and identifying levers for creating value for the Company.

    KEY EXPECTED ACHIEVEMENTS:


    • Relevant data to meet team needs are identified, captured and selected

    • Process and management teams have the action recommendations they need to create value

    • Processes are optimized through knowledge gained through data analysis and valuation

    • Group prescriptions on ethics and data governance are enforced and respected


    • Resources/tools and competencies needed to govern and analyze data are optimized

    Data Structuration and Valuation


    • Identifies and understands issues the industrial and process teams is facing and relevant data sources for its scope or elsewhere

    • Prioritizes needs with stakeholders

    • Identifies or acquires data needed to meet a complex need and define levers for value creation

    • Collects, selects and validates data relevant to the analysis

    • Analysis and valorizes, with the help of a Data Scientist, heterogeneous, possibly unstructured, data masses to extract useful knowledge for the optimization of the processes and to obtain reliable results


    • Interprets complex datasets, analyzes results, identifies trends and/or avenues for action, and makes recommendations based on the analysis of collected data

    • Synthesizes and organizes analysis in relevant templates and dashboards, understandable by all, using data visualization tools

    • Communicates and explains analysis results and recommendations to stakeholders and other partners through appropriate processes.

    Communication and Decision Support


    • Helps the organization to make strategic business decisions that create value through the use of available data

    • Presents cost-benefit analysis and argues strategy choice.

    • Establishes monitoring indicators to link data strategy to performance

    • Anticipates long-term needs within its perimeter and effectively influences the improvement of product, service offers or organizational processes

    Data Quality, Ethics and Security


    • Applies Group standards for data security, quality and confidentiality throughout their lifecycle and processing

    • Meets ethical rules in the use of data

    Market Watch / Continuous improvement


    • May contribute to model or tool design to better detect Insights and opportunities for growth or improvement

    • Contributes to defining/writing specifications on storage requirements, data structuring in connection with business entities, data Scientist, data Architect, and master data owner of the entity

    • Benchmarks other Business/Business Line on Data Analysis

    • Promotes open and innovative thinking to harness technological advances in defining perimeter objectives.

    • Ensures the sharing of good practices (internally and externally) and participates in the development of the skills of its business network

    Requirements:


    • Bachelors degree in an Engineering or Computer Science - related Field preferred


    • Minimum 5 years experience in a data analysis role


    •Leadership experience is a plus

    #LI-RM1

    #HIRINGMICHELIN

    Inspire Motion for Life: Apply Today

    As the leading mobility company, we work with tires, around tires and beyond tires to enable Motion for Life. Dedicated to enhancing our clients' mobility and sustainability, Michelin designs and distributes the most suitable tires, services and solutions for our customers' needs. Michelin provides digital services, maps and guides to help enrich trips and travels and make them unique experiences. Bringing our expertise to new markets, we invest in high-technology materials, 3D printing and hydrogen, to serve a wide a variety of industries—from aerospace to biotech. Headquartered in Greenville, South Carolina, Michelin North America has approximately 23,000 employees and operates 34 production facilities in the United States and Canada.

    MICHELIN tires have been ranked the #1 Tire Brand across major categories and segments by industry experts and consumers alike. For nearly three decades we've been recognized for our achievements in Customer Satisfaction, Performance, Durability, Technology and Innovation.

    Michelin cares for the personal and professional development of its employees. We support career advancement through various options, which include: skill and career development, training, career exploration and work with cross-functional teams. We offer the possibility of a varied and fulfilling career path in an environment where unique contributions are valued.

    Michelin offers 10 Business Resource Groups (BRGs) which are all-inclusive groups created and led by employees who have shared life experiences across various diversity dimensions. Each group supports business strategies and initiatives along with meeting the needs of members. The goal of each group is to help employees feel welcome and included, support employee engagement and encourage professional development. BRGs also provide cross-cultural support, career management resources and opportunities for community involvement.

    Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at

    This position is not available for immigration sponsorship.

    Get in the driver's seat and be on your way to a meaningful professional journey


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