Data Analyst

• Gather, clean, validate, and reconcile data from ERP (JDE), financial systems, sales, marketing, and other internal and external sources
• Ensure data integrity, accuracy, and consistency across reporting and analytics solutions
• Partner with IT and data engineering teams to improve data pipelines, definitions, and availability
• Document data sources, assumptions, and business rules to support transparency and reuse
• Analyze datasets to identify trends, patterns, correlations, and business insights
• Perform ad hoc and recurring analyses to support business decisions and strategic initiatives such as budgeting, forecasting, margin analysis, pricing, promotions, and customer performance
• Apply statistical techniques and analytical methods to support business decisions
• Support development of predictive models or scenario-based analyses as capabilities mature
• Design, create and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel
• Translate complex analyses into clear, concise visual stories tailored to executive and business audiences
• Automate and standardize recurring reports to improve efficiency
• Collaborate with business units to understand data needs and translate requirements into analytical solutions
• Support strategy teams, finance, operations, and leadership with actionable insights, metrics, and solutions
• Proactively identify opportunities where data and analytics can improve decision-making, efficiency, or performance
• Provide insights and recommendations to influence decisions and improve business performance
• Follow and support data governance, security, and privacy standards
• Help define and maintain consistent metrics, KPIs, and definitions across finance and commercial reporting
• Promote best practices in data quality, documentation, and analytical rigor

• Bachelor’s degree in a STEM-related field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics) or equivalent practical experience
• 2 years experience supporting data & analytics in a complex enterprise environment
• Strong analytical, critical thinking, and problem-solving skills
• Proficiency in Excel (e.g., pivot tables, Power Query, complex formulas)
• Working knowledge of SQL for querying and validating data
• Experience creating dashboards and reports using Power BI, Tableau, or similar tools
• Excellent communication (technical and non-technical) and teamwork skills
• Interest in applying analytics to business areas (accounting, finance, HR, sales, marketing)
• Minimum of 2 years of experience working in a complex enterprise environment (e.g., multi-system, cross-functional, or large-scale organization)
• Eager to learn, take initiative, and contribute to a diverse team

annual bonus