Analyst Advanced Analytics and Data Science

Role Overview: 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: - 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. - 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. - 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: - Bachelors degree in business administration, Economics, Finance, Data Analytics, or related field. Masters 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. Note: Kennametal is an Equal Opportunity Employer. Role Overview: 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: - 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. - 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 recommen