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About Kennametal
Kennametal Inc. is a leading industrial technology company that delivers productivity to customers through materials science, tooling, and wear-resistant solutions. With over 80 years of experience, Kennametal serves customers across various industries, including aerospace and defense, earthworks, energy, general engineering, and transportation.
Job Summary
As a Business Analyst supporting the Operational Excellence Initiative at Kennametal, you will 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:
- 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.
Requirements:
- 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.
