
Pricing Data Analyst
2 days ago
About us
We empower customer experience for our home improvement business.
Our associates work across technology, analytics, business operations, finance, product management, and shared services.
We assist pricing managers in defining and optimizing pricing strategies. We use advanced analytics to forecast and measure the impact of pricing decisions.
The primary purpose is to develop and maintain descriptive and predictive analytics models that support our pricing strategy.
You will collaborate closely with the Pricing team to translate pricing goals into data and analytics requirements.
You will gather and wrangle data to deliver insights and trends. Using statistical and machine learning techniques, you will answer relevant questions and provide retail recommendations.
You will actively collaborate with product and business teams to drive continuous improvement.
- Translate pricing strategy into analytics requirements.
- Develop processes for collecting, exploring, structuring, enhancing, and cleaning large datasets.
- Conduct data validation, detect outliers, and perform root cause analysis.
- Research, design, and implement statistical and machine learning models.
- Evaluate the effects of price changes using A/B tests and multivariate experiments.
- Lead analytics projects, ensuring they are completed on time and within scope.
- Stay up-to-date with the latest developments in data science, machine learning, statistics, and experimentation techniques.
Key Responsibilities:
- Pricing Strategy & Execution
- Analytics COE
- Multivariate Experiments
Required Skills and Qualifications:
Data Analysis:
- Data Wrangling
- Statistical Analysis
- Machine Learning
Technical Skills:
- Programming Languages
- Databases
- Operating Systems
Benefits:
A competitive salary package and opportunities for career growth and development.
Others:
An opportunity to work with a talented team and contribute to a dynamic and innovative organization.
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