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Finance Data & Systems Manager
147 100 - 205 975$
Описание вакансии
Текст:
TL;DR
Finance Data & Systems Manager: Automate and improve financial reporting workflows using SQL and Python with an accent on ERP, payroll, equity, commissions, and tax data pipelines. Focus on designing scalable data pipelines, enforcing SOX compliance, and enabling self-service analytics for finance teams.
Location: San Francisco, California, United States (onsite)
Salary: $147,100–$205,975 USD
Company
is a leading data and AI company providing a unified data intelligence platform used by over 10,000 organizations worldwide, including more than 50% of the Fortune 500.
What you will do
- Design, develop, and maintain data pipelines transforming ERP, payroll, equity compensation, commissions, and tax data using SQL and Python/PySpark.
- Automate journal-entry creation, accrual calculations, and core financial processes with built-in data validation and reconciliations.
- Build reports and dashboards for monthly, quarterly, and executive-level financial reporting.
- Publish curated finance datasets enabling self-service analytics with enforced data access policies.
- Document data lineage, model definitions, and business logic; enforce Git-based version control and CI/CD pipelines to meet SOX requirements.
- Collaborate with IT and Engineering teams to support financial close and perform UAT of new systems and processes.
Requirements
- Bachelor's degree in Business, Finance, Accounting, or related field.
- 6+ years of experience in accounting, FP&A, or data analytics.
- Strong knowledge of US GAAP and SaaS/usage-based billing.
- Proficiency in SQL and/or Python; expert in Excel or Google Sheets.
- Experience with CRM and ERP systems such as NetSuite and Salesforce.
- Location: Must be onsite in San Francisco, California, United States.
Culture & Benefits
- Comprehensive benefits and perks tailored to employee needs.
- Commitment to diversity and inclusion in hiring and workplace culture.
- Opportunities to work with cutting-edge data and AI technologies.
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