Financial Cost Analyst

Conviso Inc.; Washington (District of Columbia); Sur place; USD 90 000 - 130 000; Plein temps

Résumé du poste

Conviso Inc. in Washington, DC seeks a seasoned finance data analyst to provide advanced cost analysis, modeling, and allocation support for Financial and Accounting Shared Services. The role emphasizes robust methodologies, traceable documentation, and collaboration with stakeholders.

You will build ABC cost models, analyze cost drivers and variances, and apply Python or R to financial datasets. Strong communication and analytical skills are required to design audit trails and support process

Qualifications

• Master's degree or PhD in data science, statistics, accounting, applied mathematics, or related field.
• Minimum 6 years of relevant professional experience.
• Strong experience in cost modeling, activity-based costing, and cost allocation frameworks.
• Proficiency in Python and/or R, predictive modeling, and financial data analysis.
• Experience with financial data validation, audit-trail design, and analytical documentation.
• Strong analytical, problem-solving, and communication skills.

Responsabilités

• Develop and maintain activity-based costing (ABC) models and financial cost allocation methodologies.
• Analyze shared-services costs, billing models, financial trends, and variances.
• Apply Python, R, predictive modeling, and quantitative techniques to financial datasets.
• Validate analytical results and maintain traceable methodologies, documentation, and audit trails.
• Support financial process changes, release management, reporting, and stakeholder recommendations.

Connaissances

Python

R

Predictive modeling

Financial data analysis

Analytical thinking

Formation

Master's degree or PhD in data science, statistics, accounting, applied mathematics, or related field

Description du poste

Location: Washington, DC

FTE

Position Overview

Provide advanced financial analysis, cost modeling, and cost allocation support focusing on Financial and Accounting Shared Services (FASS).

Key Responsibilities

• Develop and maintain activity-based costing (ABC) models and financial cost allocation methodologies.
• Analyze shared-services costs, billing models, financial trends, and variances.
• Apply Python, R, predictive modeling, and quantitative techniques to financial datasets.
• Validate analytical results and maintain traceable methodologies, documentation, and audit trails.
• Support financial process changes, release management, reporting, and stakeholder recommendations.

Required Qualifications

• Master's degree or PhD in data science, statistics, accounting, applied mathematics, or a related field.
• Minimum 6 years of relevant professional experience.
• Strong experience in cost modeling, activity-based costing, and cost allocation frameworks.
• Proficiency in Python and/or R, predictive modeling, and financial data analysis.
• Experience with financial data validation, audit-trail design, and analytical documentation.
• Strong analytical, problem-solving, and communication skills.

Preferred:

Federal financial systems, financial and accounting shared services, policy analytics, customer billing, and change/release management experience.