Pricing Strategy Analyst

3 days ago

Solapur, Maharashtra, India beBeeDataScientist Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

About Us

Our team enables a seamless customer experience for our home improvement business. Our associates work across technology, analytics, business operations, finance & accounting, product management, and shared services.

The Pricing Analytics team assists pricing managers and merchants in defining and optimizing pricing strategies for different product categories across various channels. We use advanced analytics to forecast and measure the impact of pricing decisions, develop strategic price zones, recommend price adjustments, and identify sales and margin opportunities.

This role is to develop and maintain descriptive and predictive analytics models and tools that support our pricing strategy. You will collaborate closely with the Pricing team, translating 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. You will actively collaborate with product and business teams, incorporating feedback throughout the development to drive continuous improvement.

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 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.

Requirements:

  • 6-12 years of relevant experience.
  • Bachelor's or Master's in Engineering, Business Analytics, Data Science, Statistics, Economics, or Math.
  • Primary Skills: Advanced quantitative analysis, statistical modeling, machine learning models, Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis, Predictive Modeling.
  • Secondary Skills: Alteryx and Knime.

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