Job Description
We’re Hiring at Prescience Decision Solutions (A Movate Company)- Analytics Consultant - Pricing & Monetization Team
What you’ll work on
Build core elasticity and demand response models across pricing, fees, and promotions
Standardize promotion measurement and quantify true incremental impact
Measure substitution & cannibalization across products, offers, and promo types
Design and analyze experiments (power analysis, metrics, causal inference)
Translate messy business questions into clear metrics, models, and decisions
What we’re looking for (must-haves)
Advanced, production-quality SQL
Strong structured problem solving and root-cause analysis
Python for data processing, automation, and analytics workflows
Baseline modeling / ML capability (predictive & analytical models)
Solid understanding of elasticity concepts
Experience with experimentation & causal inference in product settings
Clear communication with both technical and non-technical stakeholders
Nice-to-haves
Building and owning an elasticity library
Substitution / cannibalization measurement experience
Tableau dashboards & self-serve analytics
Exposure to optimization methods (LP, constrained optimization)
Using LLMs to accelerate analytics or insight generation
Requirements
Advanced, production-quality SQL
Strong structured problem solving and root-cause analysis
Python for data processing, automation, and analytics workflows
Baseline modeling / ML capability (predictive & analytical models)
Solid understanding of elasticity concepts
Experience with experimentation & causal inference in product settings
Clear communication with both technical and non-technical stakeholders
Requirements
Advanced, production-quality SQL Strong structured problem solving and root-cause analysis Python for data processing, automation, and analytics workflows Baseline modeling / ML capability (predictive & analytical models) Solid understanding of elasticity concepts Experience with experimentation & causal inference in product settings Clear communication with both technical and non-technical stakeholders
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