
Pricing Data Analyst Specialist
2 hours ago
About the Role:
We are seeking a Pricing Data Analyst Specialist to join our team. As a key member of our pricing analytics department, you will be responsible for developing and maintaining descriptive and predictive analytics models that support our pricing strategy.
Your primary purpose will be to translate pricing goals and objectives into data and analytics requirements. You will collaborate closely with the Pricing team to design and implement relevant statistical and machine learning models to solve specific business problems.
Key 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.
Requirements:
- 6-12 years of relevant experience in quantitative analysis, statistical modeling, and machine learning.
- Bachelor's or Master's degree in Engineering, Business Analytics, Data Science, Statistics, Economics, or Mathematics.
Skill Set Required:
- 6+ 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 Modelling.
- 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).
Benefits:
- Ongoing training and development opportunities.
- A dynamic and collaborative work environment.
- The chance to work on challenging projects and contribute to the growth of our business.
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