Pricing Analytics Lead

1 day ago

Erode, Tamil Nadu, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About this role

This is a senior position in our pricing analytics team where you will play a key role in developing and maintaining descriptive and predictive analytics models and tools that support our pricing strategy.

You will work closely with the pricing team to translate pricing goals and objectives into data and analytics requirements. You will gather and wrangle data to deliver data-driven insights, trends, and identify anomalies. You will apply suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations.

Key Responsibilities:

  • 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.
  • 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.
  • Promote future-proof practices and holistic solutions, adopt new tools and techniques, and identify opportunities for enhancing analytical solutions.
  • Keep up to date with the latest developments in data science, machine learning, statistics, and experimentation techniques.
  • Lead and mentor junior analysts, fostering skill development and growth within the team.

Requirements:

  • 6-12 years of relevant experience
  • Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Math
  • Primary skills: Advanced quantitative analysis, statistical modeling, machine learning, regression, sampling techniques, hypothesis testing, segmentation, time series analysis, multivariate statistical analysis, predictive modeling
  • Secondary skills: Technical expertise in Alteryx and Knime

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