Pricing Data Analyst Lead

3 days ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 30,00,000
About the Role

The primary purpose of this role is to develop and maintain descriptive and predictive analytics models and tools that support pricing strategy.

Collaborating closely with the Pricing team, the analyst will help translate pricing goals and objectives into data and analytics requirements.

Using both open source and commercial data science tools, the analyst will gather and wrangle data to deliver data driven insights, trends, and identify anomalies.

The analyst will apply the most suitable statistical and machine learning techniques to answer relevant questions and provide retail recommendations.

The analyst will actively collaborate with product and business teams, incorporating feedback throughout the development to drive continuous improvement and ensure a best-in-class position in the pricing space.

Key Responsibilities
  • Translate pricing strategy and business objectives into 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.
  • Lead the exploration and implementation of new analytical techniques, tools, and industry best practices.
  • Collaborate with teams such as Pricing Strategy & Execution, Analytics COE, Merchandising, IT, and others to define, prioritize, and develop innovative solutions.
  • 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.

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