Data Analyst

ProMach is a packaging and automation company seeking a detail-oriented Data Analyst to transform data from ERP, CRM, and operational systems into actionable business insights. The role focuses on data collection, analysis, dashboard and report development, stakeholder collaboration, and supporting data quality and integration initiatives across finance, operations, and supply chain.

Responsibilities:

• Collect, clean, and analyze data from ERP, CRM, and other business systems to identify trends, patterns, and actionable insights
• Develop and maintain dashboards, KPIs, and reports for business users and leadership
• Write SQL queries and use analytics tools to extract, transform, and analyze large datasets
• Collaborate with stakeholders across departments to understand business needs and translate them into data requirements
• Present findings and recommendations through clear visualizations and presentations
• Support data migration, integration, and quality initiatives to ensure data accuracy and consistency
• Document data processes, definitions, and methodologies for transparency and repeatability
• Stay current with best practices in data analysis, visualization, and reporting

Requirements:

• Bachelor's degree in a quantitative or analytical area, or demonstrated equivalent experience in data analysis or a related field
• 2+ years of experience in data analytics, business intelligence, or a related field
• Proficiency in SQL and experience with relational databases (e.g., SQL Server, PostgreSQL)
• Experience building dashboards and reports using tools such as Power BI, Tableau, or similar
• Strong analytical and problem-solving skills, with attention to detail and data kccuracy
• Ability to communicate complex findings to both technical and non-technical audiences
• Experience gathering requirements and working with cross-functional teams
• Deep Knowledge of data flows within ERP/CRM systems (e.g., SAP, Oracle, SyteLine, Salesforce) in a manufacturing environment
• Familiarity with cloud-based data platforms (e.g., Databricks, Delta Lake)
• Knowledge of data governance, data quality, and metadata documentation
• Experience with Python or R for data analysis is a plus
• Exposure to Agile project environments and collaboration tools (e.g., Jira, Confluence, Git)