Senior Data Analyst

2 days ago

Aurangabad, Maharashtra, India beBeeData Full time ₹ 1,68,33,333 - ₹ 2,52,50,000
Pricing Analytics Lead

About the Team

The Pricing team is responsible for defining and optimizing pricing strategies across various channels. They 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 achieve business targets.

Job Overview

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

Key Responsibilities:

  • Translate pricing strategy and business objectives into analytics requirements.
  • 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 accuracy and build trust in reliability.
  • Apply model outcomes to relevant business use cases.
  • Educate the pricing team on interpreting and utilizing model results.
  • Assist in designing and executing experiments to evaluate the effects of price changes.
  • Perform advanced statistical analyses to extract insights from experimentation data.
  • Lead analytics projects, ensuring timely completion, alignment with business objectives.
  • Explore and implement new analytical techniques, tools, and industry best practices.
  • Collaborate with teams to define, prioritize, and develop innovative solutions.
  • Promote future-proof practices, adopt new tools, and identify opportunities for enhancing analytical solutions.
  • Stay 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 relevant field.
  • Bachelor's or Master's degree 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 technical expertise.

Required Skills:

  • Advanced quantitative analysis and statistical modeling.
  • Machine learning model development and implementation.
  • Data collection, exploration, and cleaning.
  • Data validation and outlier detection.
  • Root cause analysis and statistical inference.
  • Experimentation design and execution.
  • Advanced statistical analysis and data visualization.

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