Carpenter Technology Corporation is seeking a Data Analyst to support its global quality, sourcing, and procurement teams by managing complex data, building impactful dashboards, and delivering actionable insights to drive strategic, data-informed decisions.
Requirements
- Proficient in SAP and advanced analytics tools such as Excel, Power BI, Tableau, ThoughtSpot, and Alteryx.
- Proficiency with SAP and data integration/management.
- Expertise in Power BI, Tableau, and ThoughtSpot for data visualization and reporting.
- Strong Experience with Alteryx for data transformation and automation is highly preferred.
- Strong experience working with large and complex datasets.
- Utilize analytical tools to streamline data collection and processing, driving efficiency and scalability.
- Design intuitive data visualizations to communicate procurement performance and insights clearly.
Responsibilities
- Analyze global quality and procurement data from multiple sources to generate actionable insights that support strategic decision-making.
- Develop, maintain, and enhance dashboards and performance reports related to quality and procurement activities, supplier performance, and cost-saving initiatives using Excel, ThoughtSpot, Power BI, and Tableau.
- Create and distribute monthly reports on various KPIs identified.
- Drive operational efficiency by automating manual processes through the implementation of software solutions, thereby optimizing productivity and resource utilization within the organization.
- Data design, migration, and validation support in IT projects.
- Cleanse, transform, and load large datasets using tools like Alteryx, Winshuttle, and SAP.
- Ensure data accuracy, consistency, and integrity across multiple procurement systems and platforms.
Other
- Minimum 5 years of experience in data analysis, preferably within a procurement or supply chain environment.
- Present findings and recommendations to senior management and other cross functional stakeholders in a clear and concise manner.
- Monitor and analyze global spend data, procurement trends, market conditions, and supplier performance.
- Assist in forecasting future procurement needs and costs by analyzing historical data and applying statistical models.
- Perform ad-hoc data analysis and provide business intelligence to support strategic procurement and quality decision-making as needed.
