Kennametal

Business Analyst – Manufacturing

  • Full Time

About Kennametal

With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace and defense, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 8,700 employees are helping customers in nearly 100 countries stay competitive. Kennametal generated $2.1 billion in revenues in fiscal 2023. Learn more at www.kennametal.com. Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube.
Job Description:

As a Business Analyst supporting the Operational Excellence Initiative at Kennametal, you’ll play a critical role in enhancing efficiency, quality, and overall performance within manufacturing processes. Your expertise in data analysis, modeling, and process optimization will drive continuous improvement initiatives.

 

Key Responsibilities:

 

Partner with business stakeholders to identify and define business problems that can be addressed through data analysis.
Gather, clean, and prepare data from various sources using SQL and other data manipulation tools.
Perform exploratory data analysis and statistical modeling to uncover trends, patterns, and relationships in the data.
Develop and implement data-driven solutions, including dashboards, reports, and predictive models.
Communicate data insights and recommendations to stakeholders in a clear, concise, and actionable manner.
Stay up-to-date on the latest trends and technologies in data science and analytics.
Contribute to the continuous improvement of the data infrastructure and analytical processes.
Operations Analytics Responsibilities:

 

1. Data Analysis and Insights Generation:

 

Analyze large datasets related to manufacturing operations, supply chain, and quality control and extract insights.
Provide actionable insights to support decision-making processes across manufacturing, supply chain, quality, and procurement functions.
Leverage AI models and machine learning algorithms to derive deeper insights from data.
2. Manufacturing Performance Optimization:

Collaborate with manufacturing operations teams to develop performance metrics, KPIs, and dashboards to monitor operational effectiveness and efficiency.
Identify manufacturing process bottlenecks and inefficiencies in collaboration with operations teams and recommend process improvements to streamline operations and enhance customer experience.
3. Continuous Improvement and Project Management:

Drive continuous improvement initiatives within the Operational Excellence team, leveraging Lean and Six Sigma methodologies where applicable.
Lead or contribute to cross-functional projects to enhance manufacturing operations, improve customer experience, and increase operational efficiencies.
Collaborate with IT and business stakeholders to implement technology solutions that support operational excellence initiatives.
Qualifications:

Bachelor’s degree in business administration, Economics, Finance, Data Analytics, or related field. Master’s degree preferred.
Proven experience in business analysis, data analytics, or related fields, preferably in a manufacturing or industrial setting.
Proficiency in data analysis tools and software (e.g., Microsoft Excel, Power BI, Tableau, SQL).
Strong analytical and problem-solving skills, with the ability to translate data into actionable insights and recommendations.
Experience in building AI models and utilizing machine learning algorithms for deriving insights from data.
Excellent communication and presentation skills, with the ability to effectively communicate complex ideas to diverse stakeholders.
Project management experience and familiarity with Lean Six Sigma methodologies is a plus.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
 

Equal Opportunity Employer

Job Segment: Business Analyst, Lean Six Sigma, Six Sigma, Machinist, Supply Chain, Technology, Management, Manufacturing, Operations

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