Pricing Strategy Analyst

2 days ago

Jamnagar, Gujarat, India beBeeDataScientist Full time ₹ 90,00,000 - ₹ 1,20,00,000
Lead Analyst for Pricing Strategy

About our organization

We are a team of experts who create an engaging customer experience for home improvement.

The Pricing Analytics team supports pricing managers and merchants in defining and optimizing pricing strategies 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 to help achieve business goals.

Job Summary

This role is responsible for developing and maintaining descriptive and predictive analytics models and tools that support pricing strategy. The analyst will collaborate closely with the Pricing team to translate pricing goals and objectives into data and analytics requirements.

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.

Required Skills and Qualifications

Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics required.

6+ years' experience in advanced 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 Modeling.

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).

Desired Technical expertise in Alteryx and Knime.

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