Transmission Project Data Analyst: QA/QC & Insights

Indotronix Avani Group; New Albany (OH); Sur place; USD 65 000 - 90 000; Plein temps

Résumé du poste

Indotronix Avani Group is seeking a Transmission Project Data Analyst in New Albany, OH, for a 12+ month contract-to-hire engagement. The role involves ensuring data accuracy across Transmission Project Management systems and delivering analytics to support Quality Planning, Assurance, and Control.

You will assist senior staff with data mining, auditing, reconciliation, and visualization, producing actionable insights while maintaining data integrity and alignment with project objectives.

Qualifications

• Bachelor's degree in business or supply chain or related quantitative discipline.
• Minimum of 5 years' experience with analytics and statistical software (Python, Excel, Tableau, SAS, SPSS).
• Familiarity with PMBOK methodologies and EcoSys/P6 preferred.

Responsabilités

• Assure data accuracy, consistency, and integrity within Transmission Project Management Systems.
• Provide data analytics to assure QA/QC across projects.
• Perform data mining, auditing, aggregation, validation, reconciliation, and visualization.
• Develop and review recommendations with senior staff to improve processes.
• Monitor quality management system effectiveness and report status to leadership.

Connaissances

Data analytics

Data visualization

Critical thinking

Communication

Problem solving

Formation

Bachelor's degree in business or supply chain

Outils

EcoSys

P6 (Primavera P6)

Python

Excel

Tableau

SAS

SPSS

Description du poste

Indotronix Avani Group is seeking a Transmission Project Data Analyst in New Albany, OH, for a 12+ month contract-to-hire engagement. The role involves ensuring data accuracy across Transmission Project Management systems and delivering analytics to support Quality Planning, Assurance, and Control.

You will assist senior staff with data mining, auditing, reconciliation, and visualization, producing actionable insights while maintaining data integrity and alignment with project objectives.