ASCENDING
Financial Data Analyst
Job Description
Title: Financial Data Analyst
Location: Mountain View, CA – Hybrid 2 -3 days/week onsite
Long-term project. Full-Time.
Please note: This position does not offer visa sponsorship. Candidates must be authorized to work in the US without sponsorship.
Location: Mountain View, CA – Hybrid 2 -3 days/week onsite
Long-term project. Full-Time.
Please note: This position does not offer visa sponsorship. Candidates must be authorized to work in the US without sponsorship.
Job Overview:
Our client looking for a skilled Financial Data Analyst to enhance our Project Financial Management Platform. This role requires advanced Excel expertise, strong data reconciliation skills, a solid financial background, and excellent communication abilities to translate business needs into technical solutions.
Responsibilities:
- Requirements Analysis: Collaborate with stakeholders to gather and document business and system requirements, focusing on financial processes and data flows.
- Data Reconciliation & Analysis: Conduct thorough data reconciliation to ensure accuracy across platforms, particularly during financial month-end close.
- System Design & Configuration: Configure platform settings, workflows, and permissions to align with financial requirements and user needs.
- Testing & Quality Assurance: Develop and run test cases, conduct user acceptance testing, and address system issues to maintain data integrity.
- Deployment & Support: Lead platform deployment, monitor performance, and provide user support, including training sessions and user documentation.
- Process Improvement: Identify and implement financial process enhancements to drive efficiency.
Qualifications:
- Degree in Mathematics, Statistic, Finance or related filed.
- 4+ years in Financial Analysis, Business Systems Analysis, or Data Analysis, with a strong financial background.
- Advanced Excel skills for complex data analysis, using functions and formulas to solve financial data challenges.
- Proficient in data reconciliation and financial data integrity practices.
- Excellent communication skills to translate complex technical concepts for stakeholders.
- SQL skills is a plus.