> Markdown version of [/jobs/ext/4444494-trans-project-data-analyst](https://www.wearedevelopers.com/jobs/ext/4444494-trans-project-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Trans Project Data Analyst - **Company:** Everforth Apex - **Location:** New Albany, OH, United States - **Experience:** Expert - **Salary:** $93,600.0 - $114,400.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Data Auditing, Data Integrity, Database Theory, SPSS (Software), Python (Programming Language), Primavera, SAS (Software), Tableau (Software), Data Analytics - **Published:** October 31, 2026 - **Apply:** https://www.dice.com/job-detail/e2f88893-3e77-4df6-b997-a9f92ca4ddaf ## About the Role Education: Bachelor's degree in Business, Supply Chain, or a related quantitative discipline is required. Experience: Candidates must possess at least five years of experience in data analytics or statistical analysis. A clear understanding of project control methods and procedures is necessary. Technical Skills: Proficiency with statistical software such as Python, Excel, Tableau, SAS, or SPSS is required. Strong database concepts, analytical capabilities, and critical thinking skills are essential. Preferred Qualifications * Professional certification such as Project Management Institute's Project Management Professional (PMP), AACE, or American Society for Quality (ASQ) Certified Quality Auditor (CQA) is highly preferred. * Prior experience utilizing specialized project control software such as EcoSys or Primavera P6 is preferred. ## Description The Trans Project Data Analyst ensures the accuracy, consistency, and integrity of data within key project management systems. This position provides critical data analytics expertise to support quality planning, quality assurance, and quality control processes. The analyst performs data auditing, validation, reconciliation, and visualization to develop actionable insights and recommendations that support organizational efficiency., * Establish and enforce data integrity rules during data entry processes. * Generate data variance reports to identify and resolve anomalies. * Collaborate with technology support teams to implement data correction frameworks. * Monitor the progress and effectiveness of the project quality management system. * Develop and review recommendations with senior staff to implement process improvements. * Partner with project teams to structure quality monitoring for processes, documentation, and scope adherence. * Conduct audits to ensure project activities comply with established organizational policies and procedures. * Track macro and micro performance metrics to evaluate the effectiveness of productivity improvements. * Provide objective analysis to ensure organizational metrics drive desired operational behaviors. * Collaborate with schedule and cost governance leads to ensure alignment of core processes.