Robertshaw is a private equity-owned global design, engineering, and manufacturing company selling product solutions to the appliance, automotive, and hvac industries. We are an industry leader in advanced flow control components and systems for water, gas, and other fluids to help build extraordinary products that improve safety, comfort, health, and happiness. When you join robertshaw, you’re joining a company with over 125 years of experience and a global team with focus on innovation.
we are seeking a detail-oriented and analytical data analyst to support our it department with a focus on analyzing the sales & operations planning (s&op) process, enhancing erp-related data insights, and developing impactful reports and dashboards using power bi. This role is essential for driving data-informed decision-making across operational and strategic functions.
job responsibilities:
* analyze and optimize the s&op process by providing actionable insights and performance metrics.
* collaborate with cross-functional teams to gather data requirements and improve erp data utilization.
* design and maintain interactive dashboards and reports in power bi.
* support data integrity and consistency across erp and business intelligence systems.
* develop and automate data models, queries, and reports to track kpis related to operations, supply chain, and planning.
* assist it and business teams in understanding data trends and identifying process improvement opportunities.
* ensure data governance and best practices are followed in reporting and analysis workflows.
qualifications:
* 4–10 years of experience in a data analyst role, preferably within it or operations.
* strong written and spoken fluency in english.
* proficiency with power bi, including dax and data modeling.
* strong knowledge of erp systems (e.g., sap, oracle, plex, or similar).
* solid understanding of s&op processes and operational metrics.
* advanced skills in microsoft excel, including pivot tables, advanced formulas, and vba macros.
* strong sql skills for data extraction and transformation.
* excellent communication skills and ability to translate technical findings into business insights.
education:
* bachelor's degree in computer science or a related field is required.
* master’s degree is a plus.