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    Data Engineer - Cleveland, United States - Fives

    Fives
    Fives Cleveland, United States

    2 weeks ago

    Default job background
    Description
    This is a hybrid position that allows you to work remote on Mondays and Fridays At Fives we offer excellent health benefits, 6% 401(k) match, paid vacation and sick time, 12 paid holidays, and more


    As a Data Engineer at Fives North American Combustion, Inc., you will be crucial in raising data to enhance our engineering and manufacturing processes, improve product quality, and drive operational efficiency.

    You will collaborate with cross-functional teams to extract, analyze, and visualize data, providing valuable insights to guide our strategic decisions.

    The successful candidate will possess a combination of analytical skills, technical proficiency, and industry knowledge to thrive in this role.


    Duties & Responsibilities:
    All duties and responsibilities are essential functions of the position. Other duties and responsibilities may be assigned.

    Data Collection and Integration:
    Gather, clean, and integrate data from various sources, including production databases, sensor data, and external datasets.

    Data Analysis:
    Conduct exploratory data analysis to identify patterns, trends, and anomalies. Perform statistical analysis and hypothesis testing to drive meaningful insights.

    Data Visualization:
    Create informative and visually appealing dashboards and reports using tools like Tableau, Power BI, or Python libraries.

    Predictive Modeling:
    Develop predictive models to forecast manufacturing performance, quality, and operational outcomes.

    Root Cause Analysis:
    Investigate production issues and quality concerns by analyzing data to identify root causes and recommend corrective actions.

    Performance Monitoring:
    Establish and maintain key performance indicators (KPIs) to track manufacturing and engineering metrics. Generate regular reports to communicate performance trends to stakeholders.
    Cross-functional Collaboration: Collaborate with engineering, manufacturing, and quality assurance teams to understand their data needs and provide analytical support

    Continuous Improvement:
    Suggest process improvements and optimizations based on data analysis.

    Data Security and Compliance:
    Ensure data security and compliance with relevant regulations, such as GDPR or industry-specific standards.
    Build and maintain the infrastructure for collecting, storing, and processing data
    Design, develop, and manage data pipelines, ELT processes, and data warehouses.
    Work to optimize data processing and storage for both structured and unstructured data.

    Profil

    Proven experience as a Sr. Data Analyst and/or Data Engineer in an engineering or manufacturing environment.
    Proficiency in data analysis tools and programming languages, such as Python, R, SQL, and Excel.
    Strong data visualization skills with tools like Tableau or Power BI.
    Excellent knowledge of statistical analysis and machine learning techniques.
    Ability to communicate complex findings and insights effectively to technical and non-technical stakeholders.
    Strong problem-solving skills and attention to detail.
    Familiarity with manufacturing processes and quality control is a plus.
    Requires experience with enterprise ERPs (SAP S4HANA, Oracle EBS), and CRMs (Salesforce, Hubspot).

    *Please be aware that the compensation details provided by the website may be incorrect. To receive accurate and up-to-date information regarding the compensation package for this position, we kindly request you to reach out directly to Rachel, our HR representative, at
    #J-18808-Ljbffr
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