Remote Analyst II - Supply Forecasting
About the Role
We are seeking a Remote Analyst II - Supply Forecasting to join our dynamic team. In this role, you will leverage your analytical skills to forecast supply needs and optimize resource allocation. You will work closely with various teams to ensure that our supply chain processes are efficient and effective, ultimately impacting our growth and success.
What You'll Do
- Analyze historical data and trends to develop accurate supply forecasts.
- Utilize statistical techniques and machine learning models to enhance forecasting accuracy.
- Collaborate with product management and technical support teams to align supply forecasts with business objectives.
- Prepare detailed reports and presentations on forecasting outcomes and recommendations.
- Manage and optimize supply chain analytics to improve efficiency and reduce costs.
Requirements
- 2-5 years of experience in data analysis or forecasting, particularly in supply chain contexts.
- Proficiency in SQL, Python, and R for data manipulation and analysis.
- Experience with statistical forecasting methods, including time series analysis and regression techniques.
- Strong analytical and problem-solving skills, with a strategic thinking mindset.
- Excellent communication skills to convey complex data insights to non-technical stakeholders.
Nice to Have
- Experience with Tableau or similar data visualization tools.
- Familiarity with AWS and cloud-based data solutions.
- Knowledge of e-commerce and SaaS business models.
What We Offer
- Comprehensive health care coverage for employees and dependents.
- Flexible spending stipends for various needs.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan.
- Opportunities for professional development and growth within the company.
This Remote Analyst II position at Affirm offers a unique opportunity to work in supply forecasting, leveraging data analysis skills in a dynamic environment.
Who Will Succeed Here
Proficiency in SQL for data extraction and manipulation, with experience in optimizing complex queries to enhance forecasting accuracy.
Strong analytical mindset with a hands-on approach to statistical analysis and machine learning, particularly using Python and R for predictive modeling.
Ability to work independently in a remote setting, demonstrating self-motivation and effective time management while collaborating with cross-functional teams.
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