Hybrid Financial Analyst II - Project Cost & Compliance

Eliassen Group; Plainfield (IN); Hybrid; USD 48,000 - 52,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Business Analyst II for a hybrid role in Plainfield, IN (3 days on-site). The analyst will investigate financial and project accounting exceptions, review estimates vs actuals, ensure ARC rule compliance, support project closeout, and collaborate with project controls, management, and engineering to drive corrective actions.

3–6 years of relevant experience, advanced Excel, ability to analyze large data sets, and strong communication are required.

Qualifications

• 3–6 years of relevant professional experience.
• Advanced proficiency in Microsoft Excel with strong data analysis and reporting capabilities.
• Ability to interpret financial and project data and work with large data sets.

Responsibilities

• Investigate financial errors and exceptions from project systems.
• Analyze variances between estimated and actual project costs.
• Review project coding for ARC rule compliance.
• Prepare and process journal entries for corrections.
• Maintain audit-ready documentation of investigations and resolutions.
• Support project closeout activities and financial reconciliation.
• Communicate findings and corrective actions to stakeholders.

Skills

Advanced Excel

Data analysis

Attention to detail

Investigative mindset

Analytical thinking

Large data sets

Education

Associate degree

Bachelor’s degree preferred

Tools

PowerPlan

Maximo

EcoSys

Job description

Eliassen Group is seeking a Business Analyst II for a hybrid role in Plainfield, IN (3 days on-site). The analyst will investigate financial and project accounting exceptions, review estimates vs actuals, ensure ARC rule compliance, support project closeout, and collaborate with project controls, management, and engineering to drive corrective actions.

3–6 years of relevant experience, advanced Excel, ability to analyze large data sets, and strong communication are required.