The role of a Pricing Analyst requires you to work with data-driven models that directly impact prices and customer experience.
You will collaborate with key stakeholders to implement price changes and provide actionable insights for improving commercial performance.
Using SQL and Python, you will process, analyze, and manipulate millions of quotes to drive revenue through retail pricing actions.
* Data manipulation and reporting skills in SQL and Excel are essential for this role.
In addition, you will work closely with software developers to adapt and optimize pricing tools based on identified opportunities.
This position is ideal for individuals with a strong numerate degree and relevant experience in Insurance, Financial Services, Retail, or Travel industries.
* Proficiency in Python and its data science libraries is required for success in this role.
A strong understanding of statistical modeling and data visualization is also necessary.
Responsibilities:
* Build predictive models within a proprietary Retail Pricing suite.
* Implement price selection changes and provide actionable insights for improving commercial performance.
* Use SQL and Python for data processing, analysis, and price setting.
* Work closely with software developers to adapt and optimize pricing tools.
Requirements:
* 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries.
* Strong numerate degree, such as Data Science, Mathematics, Physics, or Engineering.
* Proficient in Python and its data science libraries.
* Strong data manipulation and reporting skills in SQL and Excel.