Transmission Project Data Analyst — QA/QC & Insights

Revel IT; Beech (OH); On-site; USD 85,000 - 125,000; Full time

Job summary

Revel IT in New Albany, Ohio is seeking a Transmission Project Data Analyst for a contract role to assure data accuracy, consistency, and integrity within the Transmission Project Management Systems. You will perform data analytics to support Quality Planning, Quality Assurance and Quality Control on projects, including data mining, auditing, aggregation, validation and visualization.

Collaborate with IT Support and project teams to implement data integrity improvements, monitor performance

Qualifications

• Bachelor degree in Business or Supply Chain, or related quantitative field.
• Minimum of 5 years' analytics experience with statistical software such as Python, Excel, Tableau, SAS, SPSS.
• PMBOK methodologies knowledge preferred.
• EcoSys or P6 experience preferred.

Responsibilities

• Assist in enforcing data integrity rules during data entry.
• Provide data variance reports to determine anomalies.
• Monitor progress of the project quality management system.
• Develop recommendations and implement improvements with senior staff.
• Identify quality improvement measures and drive implementation.
• Audit project activities for compliance with policies and procedures.
• Monitor metrics to measure productivity and process improvements.
• Provide status reports to Project Support Manager.

Skills

Data analytics

Data mining

Auditing

Data visualization

Quality Assurance

Education

Bachelor's degree in Business or Supply Chain

Tools

Python

Excel

Tableau

SAS

SPSS

Job description

Revel IT in New Albany, Ohio is seeking a Transmission Project Data Analyst for a contract role to assure data accuracy, consistency, and integrity within the Transmission Project Management Systems. You will perform data analytics to support Quality Planning, Quality Assurance and Quality Control on projects, including data mining, auditing, aggregation, validation and visualization.

Collaborate with IT Support and project teams to implement data integrity improvements, monitor performance