DescriptionJob Summary: The Data Analyst – Project Management Support is an entry-level position located in Budd Lake, NJ responsible for providing data analysis, reporting, and coordination support to project managers and cross-functional teams. The successful candidate will help track project financials, schedules, budgets, milestones, risks, and performance metrics while developing accurate and timely reports for management.
Primary Duties & Responsibilities
- Collect, organize, validate, and analyze project data from multiple sources.
- Maintain project schedules, action-item logs, risk registers, and status reports.
- Prepare recurring project updates, dashboards, scorecards, and management reports.
- Track project progress against schedules, budgets, milestones, and deliverables.
- Identify schedule variances, cost trends, resource constraints, and potential risks.
- Support project managers with forecasting, trend analysis, and performance reporting.
- Assist with tracking purchase orders, invoices, project commitments, and expenditures.
- Coordinate data inputs from Engineering, Operations, Materials, Supply Chain, Finance, and other functions.
- Prepare meeting materials, presentations, action items, and follow-up communications.
- Maintain accurate project documentation and ensure information is current and accessible.
- Support project changes by tracking scope, schedule, cost, and deliverable updates.
- Develop ad hoc analyses and reports to support project decisions.
- Identify opportunities to improve reporting processes, data quality, and project execution.
- Support lessons-learned activities and continuous improvement initiatives.
Education & Experience
- This position is an excellent opportunity for a recent college graduate with strong financial, analytical, organizational, communication, and problem-solving skills. Any relevant work experience is a plus.
- Bachelor’s degree in Data Analytics, Business, Engineering, Project Management, Finance, Operations, or a related field.
Skills
- Strong proficiency in Microsoft Excel, including formulas, pivot tables, lookups, charts, and data organization.
- Strong analytical, organizational, and problem-solving skills.
- Excellent written and verbal communication skills.
- High attention to detail and commitment to data accuracy.
- Ability to manage multiple priorities and meet deadlines.
- Ability to work effectively with technical and nontechnical team members.
- Dem