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# Data Analyst

- **Company:** Pro Mach Inc
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Confluence, JIRA, Big Data, Business Systems, Collaborative Software, Databases, Data Governance, Data Migration, Relational Databases, Document-Oriented Databases, Python (Programming Language), PostgreSQL, Metadata, Microsoft SQL Server, Oracle (Applications), Power BI, Salesforce.Com, SAP (Applications), SQL Databases, Data Streaming, Tableau (Software), Cloud Platform System, Git, Data Lakes, Syteline, Data Analytics, Operational Systems, Tools for Reporting, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-analyst--9e98ff3d-a780-4be6-9ed1-5ffb6de501cf

## About the Role

Data Analysis, Problem Solving Skills, Persuasion Skills, Sales Closing Skills, Automation, Performance Management, Team Player, Reporting Dashboards, ERP (Enterprise Resource Planning), Cross-Functional, * 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

Preferred:

 * 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).

What's in it for you?

There's no monopoly on innovative ideas or limits to how far you can advance with our team. We offer an open, communicative environment that fosters individual initiative. We pride ourselves in being a company where people are happy and choose to build a career.

## Description

Join ProMach and shine. Whether you're creative, strategic, persuasive, or mechanically inclined, there's a place for you here. Be a problem-solver, a closer, a futurist - whatever drives you.

At ProMach, you'll be challenged and rewarded as you help improve packaging performance and shape the future of automation. And we'll be proud to have you on the journey.

Do we have your attention? Keep reading.
ProMach is seeking a detail-oriented and collaborative Data Analyst to help transform our complex data landscape into actionable business insights. You'll work with data from multiple ERP, CRM, and operational systems, supporting key business decisions in finance, operations, and supply chain. This role is ideal for someone who enjoys hands-on data work, cross-functional collaboration, and building impactful reports and dashboards.

Why This Role Matters

As a Data Analyst at ProMach, you'll play a critical role in shaping business strategy by collecting, analyzing, and visualizing data from dozens of systems and databases. Your insights will help drive efficiency, identify opportunities, and support growth across the organization.

Key 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.
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