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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, generic Data Analyst title, broad technical requirements, and unclear experience increase competition.
Pricing subject-matter expertise increases domain specificity, though core data skills remain transferable across industries.
Strong technical, ML and pricing domain requirements but no explicit years requirement implies medium strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Drive profitable growth and market positioning by developing and optimizing pricing strategies using data analysis and statistical modeling.
Design, automate, and maintain scalable analytical tools and dashboards for clear visibility into pricing performance across multiple regions.
Collaborate cross-functionally with Sales, Finance, Vendor Management, and senior leadership to transform complex data into actionable pricing decisions.
Minimum Requirements
Master's degree in a quantitative field such as Statistics, Applied Mathematics, Business, or Economics; MBA or PhD considered a plus.
Strong proficiency in SQL and BigQuery, experience with large-scale data processing, ETL pipelines, and data engineering for analytics.
Proven expertise in statistical modeling techniques (regression, elasticity modeling, clustering, forecasting) and applied quantitative methods.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in handling and transforming large datasets and building automated workflows within complex, multi-platform environments like Databricks, BigQuery, and Looker.
Subject matter expert in price optimization, revenue management, and scenario modeling with a track record of implementing innovative, data-driven pricing strategies.
Strong strategic orientation with ability to translate analytical insights into measurable business outcomes and influence stakeholders across functions.