Pricing Insights Specialist

2 days ago

Meerut, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,24,74,000 - ₹ 1,93,11,000
Key Pricing Analyst Role

The main objective of this position is to develop, implement and maintain advanced analytics models and tools that support pricing strategy optimization.

Closely collaborate with the Pricing team to translate business goals into data-driven requirements.

Apply suitable statistical and machine learning techniques to provide actionable insights and retail recommendations.

Key Responsibilities:

  • Translate business objectives into data-driven analytics requirements.
  • Design 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.
Required Skills & Qualifications

Primary Skills:

  • 6+ years of experience in advance quantitative analysis, statistical modeling, and machine learning models.
  • Ability to perform various analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modelling.
  • 6+ years' experience in corporate Data Science, Analytics, Pricing & Promotions, Merchandising, or Revenue Management.
  • 5+ years' experience working with common analytics and data science software and technologies such as SQL Python, R, or SAS.
  • 5+ years' experience working with Enterprise level databases (e.g., Hadoop, Teradata, Oracle, DB2).
  • 5+ years' experience using enterprise-grade data visualization tools (e.g., Power BI , Tableau).
  • 5+ years' experience working with cloud platforms (e.g., GCP, Azure ,AWS).
Secondary Skills

Desired Skills:

  • Technical expertise in Alteryx and Knime.

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