Strategic Data Analyst: Insights & Governance

Matlen Silver; Charlotte (NC); On-site; USD 65,000 - 90,000; Full time

Job summary

Matlen Silver is seeking a Data Analyst to translate complex data into strategic insights in its Charlotte, NC onsite environment. The role focuses on end-to-end data analysis to inform business strategy and improve operational performance, including governance and data management across multiple sources.

The candidate will perform data mining, aggregation, and business planning, while setting standards for data management and ensuring data quality.

Qualifications

• 5+ years of experience in data analysis or related field.
• Advanced to intermediate Excel skills.
• Tableau experience.
• MS Office PowerPoint proficiency.
• JIRA experience.
• Microsoft Office Certification.

Responsibilities

• Provide end-to-end data analysis to inform business strategy and improve operational performance.
• Perform data mining, aggregation, and business planning across multiple areas.
• Set data governance policies and ensure compliance with standards.
• Track data quality controls and escalate non-compliance risks.
• Collaborate with development teams to define data requirements and ensure feasible architecture.
• Assemble large, complex data sets and support metadata and data lineage concepts.
• Contribute to test suites and analyze test results; support deployment and release cadence.

Skills

5+ years experience

Excel advanced

Tableau experience

PowerPoint proficiency

JIRA experience

Microsoft Office Certification

GitHub Copilot awareness

Tools

Excel

Tableau

MS Office PowerPoint

JIRA

GitHub Copilot

Job description

Matlen Silver is seeking a Data Analyst to translate complex data into strategic insights in its Charlotte, NC onsite environment. The role focuses on end-to-end data analysis to inform business strategy and improve operational performance, including governance and data management across multiple sources.

The candidate will perform data mining, aggregation, and business planning, while setting standards for data management and ensuring data quality.