Our client is a leading market planning software company that uses predictive analytics and GIS mapping to build actionable real estate strategy plans for more than 300 multi-location restaurants, retail, healthcare, and service-based chains across North America. With an impressive net revenue retention rate of 99% they work with brands including Lululemon, A&W, Vans, In-N-Out Burger, Buffalo Wild Wings, Levi's and many others and specialize in developing intuitive models using only 100-3000+ store location data points.

About the role: Senior Predictive Analyst

The role will require the craft of building sales forecasting models using statistical/quantitative analysis skills approach + intuition + creative problem-solving approach using small sets of data
Model Building:
- Work with existing client base to develop sales forecasting systems by receiving, cleaning, and validating data
- Process and integrate client and mobile data in subsequent project phases to develop customer profiles and perform trade area analysis and rules
- Select intuitive variables that clients will understand and agree with, providing a narrative explaining the impact of each variable on the client's performance
- Conduct rigorous quality assurance through the process on all models, recipes, and deliverables, utilizing a combination of manual data verification and innovative methods to identify and rectify undesirable patterns
- Works on a range of models including machine learning and regression analysis
Research & Development: Conduct R&D to develop new data science techniques leading to the creation of innovative predictive modelling product deliverables and operational process efficiencies
Client Management: Support the client management team by explaining analytical and modelling methodologies to existing clients in a simple and intuitive way while collaborating with managers during the model kickoff process to discuss relevant questions to create a model strategy plan
Team Leadership: Foster an ego-free, positive and productive environment while suggesting and implementing process enhancements that increase efficiency, and stakeholder experience, and reduce errors for project execution

Requirements for Consideration

This role is best suited for someone comfortable operating in 'the grey' where the solution is a balance of art and science
Strong statistical quantitative analysis experience working with small sets of data points
MUST have a strong sense of logic with a natural ability to combine statistical approach with intuition and creative problem-solving approach
Experience with KNN, Random Forest, K-means Clustering,
Education: Must have relevant education in either Econometrics, Quantitative methods, data science, or social sciences
This is a hybrid role which will require 2-3 days in office located in Kits

Compensation Package

Base salary $80K-$120K depending on experience
Comprehensive benefits program including extended health & dental
Personal health spending account and a fitness and wellness benefits program
Cellphone subsidy
RRSP Matching
3 weeks vacation and opportunity to increase with tenure
Half-day summer Fridays
Opportunity to move into a leadership role

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Senior Predictive Analyst