Data Analyst Pricing

3 days ago

Surat, Gujarat, India beBeePricing Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Pricing Data Analyst Role

We are seeking a highly skilled data analyst to join our Pricing team. The successful candidate will play a key role in developing and maintaining descriptive and predictive analytics models and tools that support our pricing strategy.

The ideal candidate will have 6-12 years of relevant experience in advanced quantitative analysis, statistical modeling, and machine learning models. They will possess strong analytical skills, including regression, sampling techniques, hypothesis testing, segmentation, time series analysis, multivariate statistical analysis, and predictive modeling.

The selected candidate will collaborate closely with the Pricing team to translate pricing goals and objectives into data and analytics requirements. They will gather and wrangle 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.

The successful candidate will also be responsible for designing and implementing relevant statistical and machine learning models to solve specific business problems, ensuring the accuracy of model results, and building trust in their reliability. Additionally, they will 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, and lead and manage analytics projects.

Key responsibilities include:

  • Developing and implementing processes for collecting, exploring, structuring, enhancing, and cleaning large datasets.
  • Conducting data validation, detecting outliers, and performing root cause analysis to prepare data for statistical and machine learning models.
  • Designing and implementing relevant statistical and machine learning models to solve specific business problems.
  • Ensuring the accuracy of model results and building trust in their reliability.
  • Applying machine learning model outcomes to relevant business use cases.

We are looking for a highly motivated and experienced individual who can work independently and collaboratively as part of a team. If you are passionate about data science, analytics, and pricing strategy, and have a strong background in statistics, mathematics, or economics, we encourage you to apply for this exciting opportunity.

Required qualifications include a Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics. A strong skill set is required, including primary skills such as 6+ years of experience in advanced quantitative analysis, statistical modeling, and machine learning models, and secondary skills such as technical expertise in Alteryx and Knime.

This is an excellent opportunity to develop your skills and knowledge in pricing analytics and contribute to the success of our team.

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