Job Title: Financial Analyst
Location: Chicago, IL - Hybrid
Job Type: W2 Contract to Hire
Expected hours per week: 40 hours per week
Schedule: 8:00 AM - 5:00 PM CST
Pay: $60 per hour
***Candidate must be USC/GC - NO C2C*** We are seeking a highly motivated Finance-Tax Analytics & AI Analyst to drive innovation, automation, and data-driven decision-making across our Finance organization. This role partners closely with Finance, Tax, and business stakeholders to develop advanced analytics, optimize processes, and implement AI-powered solutions that enhance operational efficiency, reporting accuracy, and business insights.
The ideal candidate combines a strong understanding of finance and tax processes with technical expertise in analytics, automation, and emerging AI technologies. This position will play a key role in advancing finance transformation initiatives through the development of reporting solutions, workflow automation, and intelligent business applications.
Key Responsibilities
Required Qualifications
- Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or a related field.
- Experience supporting Finance, Tax, Accounting, or related business functions.
- Hands-on experience with Microsoft Power BI, Power Automate, and Power Query.
- Strong analytical and problem-solving skills with the ability to translate business requirements into technology solutions.
- Experience managing multiple projects and priorities in a fast-paced environment.
- Excellent communication, organizational, and stakeholder management skills.
- Proficiency in data analysis, reporting, and process automation.
Preferred Qualifications
- Experience with Microsoft Copilot Studio, AI technologies, and intelligent automation solutions.
- Knowledge of Alteryx and advanced data transformation techniques.
- Experience working with ERP systems and multi-ledger financial environments.
- Familiarity with continuous improvement methodologies such as Lean, Six Sigma, or Agile project delivery.
- Experience supporting finance transformation, digital transformation, or enterprise automation initiatives.
***Candidate must be USC/GC - NO C2C***
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