
Pricing Analytics Specialist
1 day ago
Our organization is looking for a seasoned Pricing Analyst to join our team. As a key member of our Pricing Analytics team, you will play a crucial role in developing and maintaining descriptive and predictive analytics models and tools that support our pricing strategy.
Key Responsibilities:
- Translate pricing goals and objectives into data and analytics requirements.
- Develop and implement processes for collecting, exploring, structuring, enhancing, and cleaning large datasets from both internal and external sources.
- Conduct data validation, detect outliers, and perform root cause analysis to prepare data for statistical and machine learning models.
- Research, design, and implement relevant statistical and machine learning models to solve specific business problems.
- Ensure the accuracy of model results and build trust in their reliability.
- Apply machine learning model outcomes to relevant business use cases.
- Educate the pricing team on how to effectively interpret and utilize machine learning model results.
- Assist in designing and executing A/B tests, multivariate experiments, and randomized controlled trials (RCTs) to evaluate the effects of price changes.
- Perform advanced statistical analyses (e.g., causal inference, Bayesian analysis, regression modeling) to extract actionable insights from experimentation data.
- Lead and manage analytics projects, ensuring they are completed on time, within scope, and aligned with business objectives.
Requirements:
- 6-12 years of experience in pricing analytics or related fields.
- Expertise in advance quantitative analysis, statistical modeling, and machine learning models.
- Strong knowledge of SQL, Python, R, or SAS programming languages.
- Experience working with enterprise-level databases and data visualization tools.
What We Offer:
- A dynamic work environment with opportunities for growth and development.
- A competitive salary and benefits package.
- The chance to work with a talented team of professionals who are passionate about pricing analytics.
Education Qualification & Certifications (optional)
Required Minimum Qualifications:
- Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics.
Preferred Skills:
- Technical expertise in Alteryx and Knime.
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