Analyst II Supply Forecasting

Affirm; Remote; CAD 135,000 - 159,000; Full time

Job summary

A financial technology company is seeking an experienced analytical professional to design and maintain forecasting models. This remote role involves advanced statistical techniques and collaboration with internal teams. Candidates should have a quantitative degree and substantial experience in analytical environments. The position offers competitive compensation, robust benefits, and a culture of growth and inclusivity.

Benefits

100% subsidized medical coverage

Generous stipends for technology and lifestyle needs

Inclusive work environment with accommodations

Qualifications

• 5+ years of experience in an analytical environment focusing on forecasting and planning.
• Strong working knowledge of SQL and Python or R.
• Experience in creating optimization models using linear programming techniques.

Responsibilities

• Design, develop, and maintain advanced analytical models for operational forecasting and planning.
• Develop forecasting models using statistical techniques, including time series and machine learning.
• Partner with internal stakeholders to address planning and forecasting business challenges.

Skills

SQL

Python

R

Statistical techniques

Data solutions

Education

Bachelor’s, Master’s, or PhD in a quantitative field

Tools

Optimization solvers (CPLEX, Gurobi)

Job description

Overview

Employer Industry: Financial Technology

Why consider this job opportunity:

• Salary up to $159,000
• Opportunity for career advancement and growth within the organization
• Work remotely from almost anywhere within the country
• Competitive benefits package, including 100% subsidized medical coverage for you and your dependents
• Generous stipends for technology, food, lifestyle needs, and family forming expenses
• Inclusive work environment with accommodations for candidates with disabilities

Responsibilities

• Design, develop, and maintain advanced analytical models for operational forecasting and planning
• Develop forecasting models using statistical techniques, including time series and machine learning
• Partner with internal stakeholders to address planning and forecasting business challenges
• Lead forecast and capacity planning meetings, presenting recommendations to leadership
• Identify innovative data solutions to enhance planning and forecasting practices

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field such as statistics or operations research
• Minimum of 5 years of experience in an analytical environment focusing on forecasting and planning
• Strong working knowledge of SQL and Python or R
• Experience in creating optimization models using linear programming techniques
• Ability to communicate findings clearly to both technical and non-technical audiences

Preferred Qualifications

• Experience with optimization solvers such as CPLEX or Gurobi
• Proven ability to work cross-functionally and with external partners
• Creative and critical thinking skills in a fast-paced environment
• Enthusiasm for finding insights in data to drive organizational change