Principal Data Analyst
Location: Santa Clara, CA
Job Type: Contract
Company: IDR
Category: Accounting / Finance
Job Description Apply Now
The Principal Data Analyst plays a key role in driving the advancement and automation of financial modeling processes, particularly within the context of cloud cost management and long-range financial planning. This opportunity allows professionals to leverage their in-depth knowledge of financial modeling and data engineering to oversee the migration of complex Excel-based models into robust, scalable Python-based environments. The Principal Data Analyst will work remotely, collaborating with cross-functional teams to deliver actionable insights and ensure the reliability and scalability of financial planning tools in a dynamic and innovative setting.
This role focuses on leading the end-to-end audit, migration, and optimization of a long-range planning (LRP) model for cloud economics. The Principal Data Analyst is responsible for creating automated data pipelines, building advanced simulation engines for forecasting, and instituting frameworks for model versioning and variance analysis. Success in this role requires a blend of advanced technical skills in Python, a strong foundation in financial modeling, and a deep understanding of cloud cost structures.
Working with a top-tier organization, the Principal Data Analyst will have the opportunity to impact the financial decision-making process by providing reliable, data-driven forecasts and risk-adjusted planning outputs. This role supports the organization's strategic objectives by enabling more accurate predictions of cloud spend and uncovering key drivers of cost variances over multi-year horizons.
Principal Data Analyst - Summary- Leads the transformation of Excel-based financial models into production-grade Python models.
- Develops and maintains automated data ingestion pipelines from various public cloud providers.
- Implements advanced forecasting techniques, including stochastic simulations and Monte Carlo analysis.
- Ensures accuracy, auditability, and transparency of all model outputs for informed financial planning.
- Audit and migrate existing Excel-based LRP financial models into Python environments, utilizing Jupyter Notebooks for maintainability and scalability.
- Design and build automated pipelines for ingesting cost, usage, and rate card data from multiple public cloud platforms.
- Establish processes for data validation and ensure the auditability of all ingested data streams.
- Develop a parameterized calculation engine to facilitate both stochastic and deterministic forecast analyses for multi-year cloud spend projections.
- Implement a robust versioning system to compare different model iterations, perform variance analysis, and generate automated commentary highlighting key changes and drivers.
- Design and execute Monte Carlo simulation engines to deliver probabilistic forecast distributions and conduct sensitivity analyses for risk-adjusted planning.
- Collaborate with other teams to communicate insights and support decision-making with clear, data-driven recommendations.
- Competitive compensation structure aligned with industry standards for Principal Data Analyst roles.
- Comprehensive benefits package, including medical, dental, and vision coverage.
- Access to an Employee Stock Ownership Program.
- Support from a dedicated engagement manager focused on professional development and success.
- Recognition through industry awards, underscoring the organization's commitment to excellence.
- Bachelor's degree in Finance, Economics, Mathematics, Computer Science, or a related quantitative field.
- At least 5 years of experience in financial modeling, FP&A, or cloud economics positions.
- Minimum 3 years of hands-on experience with Python and Jupyter for financial modeling purposes.
- Demonstrated proficiency with Git and experience in collaborative code review environments.
- Strong understanding of cloud cost and usage data, driver-based modeling, and variance analysis techniques.
- Proven expertise in migrating and optimizing financial models for scalable, production-grade applications.
- Advanced skills in developing automated data ingestion solutions and validation protocols.
- Deep understanding of cloud economics and a passion for leveraging data in financial decision-making.
- Ability to implement complex forecasting techniques and communicate findings effectively to diverse stakeholders.
- Detail-oriented, with a commitment to producing accurate and auditable financial analyses.
- The Principal Data Analyst role is remote, offering flexibility and the opportunity to collaborate with teams across multiple locations.
- Being part of a reputable organization with a strong track record in industry leadership and employee engagement.
- The company is committed to diversity and inclusion, providing equal opportunities for all qualified applicants.
- Applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
- Legal compliance with civil rights laws and voluntary self-identification for demographic data is ensured and maintained as per regulations.
If you are a results-driven professional with a passion for advanced financial modeling and cloud economics, and you are seeking a remote, full-time opportunity to make a strategic impact, apply today by clicking the job application button. Join a forward-thinking team dedicated to innovation and excellence in financial analysis.