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# Data Analyst

- **Company:** Insight Global
- **Location:** Ladson, SC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Presentation, Data Visualization, Power BI, SQL Databases, Tableau (Software), Operational Systems
- **Published:** June 20, 2026
- **Apply:** https://www.juju.com/job/00000000g9nudj

## About the Role

2-3 years of experience working with ERP data, including SQL-based extraction, validation, and modeling to support production, quality, or supply-chain operations.

 * Proven ability to design and maintain scalable data models, ETL pipelines, and automated BI dashboards (Power BI/Tableau) following best-practice visualization standards.

 * Demonstrated skill in ensuring data integrity, resolving discrepancies across transactional and operational systems, and supporting data governance efforts.

 * Strong analytical and communication abilities, translating complex operational and cost data into clear insights that support KPI development, decision-making, and continuous improvement

## Description

Insight Global is seeking a Data Analyst for a manufacturing client in Summerville SC

 * Extract, validate, and model complex ERP data using SQL and related tools to support production, quality, and supply chain decision-making.

 * Build and manage trusted ERP data models, reference datasets, and ETL processes that enable scalable reporting and analytics across teams.

 * Develop automated dashboards and reports in BI tools (e.g., Power BI, Tableau), applying data visualization best practices for non-technical stakeholders.

 * Ensure ERP data integrity by troubleshooting discrepancies between transactional systems and operational processes, supporting data governance and reliability.

 * Partner with operations leaders to define and evolve KPIs aligned with business objectives and operational priorities.

 * Analyze operational and cost data to identify trends, constraints, and key performance drivers across manufacturing, quality, and supply chain functions.

 * Translate complex data into actionable insights through clear data storytelling, enabling informed decisions at both frontline and leadership levels.

 * Support planning and continuous improvement through data-backed analysis of historical performance, current conditions, and future scenarios.


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