Senior Business Insights Professional

1 week ago


Mount Abu, Rajasthan, India beBeeDataAnalyst Full time ₹ 1,00,00,000 - ₹ 1,50,00,000

About the Pricing Analytics Team

We are a team of data analysts who help create an engaging customer experience for our home improvement business.

The Pricing Analytics team assists 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 to help achieve company targets.

Job Summary:

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 to translate pricing goals and objectives into data and analytics requirements.

Key Responsibilities:

  • Develop 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.
  • Ensure model results accuracy and build trust in their reliability.
  • Apply machine learning model outcomes to relevant business use cases.

Years of Experience:

  • 6-12 years of relevant experience

Required Qualifications:

  • Bachelor's or Masters degree in Engineering/business analytics/Data Science/Statistics/economics/math

Skill Set Required :

Primary Skills (must have)

  • 6+ Years of experience in advance quantitative analysis , statistical modeling and machine learning models.
  • Ability to perform analytical concepts like Regression, Sampling techniques, hypothesis, Segmentation, Time Series Analysis, Multivariate Statistical Analysis,Predictive Modelling.
  • 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).

Secondary Skills (desired) :

  • Technical expertise in Alteryx and Knime.

Requirements

Education

Work Experience

Skills

Preferred Skills

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