Data Driven Pricing Specialist

1 day ago

Hubli, Karnataka, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

**Job Title:** Pricing Analytics Analyst

This role is focused on developing and maintaining advanced analytics models to support pricing strategies.

The ideal candidate will have a strong background in quantitative analysis, statistical modeling, and machine learning. They will be responsible for translating business objectives into data requirements and working closely with the Pricing team to ensure alignment.

Key Responsibilities:

  • Develop and implement processes for collecting, exploring, and preparing 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.
  • 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.
  • Collaborate with teams such as 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.

Requirements:

  • 6-12 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 Modeling.
  • 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).

Skill Set Required :

Primary Skills (must have)

  • Technical expertise in Alteryx and Knime.

Secondary Skills (desired) :

Additional skills that would be beneficial for the role include experience with A/B testing, multivariate experiments, and randomized controlled trials.

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