Pricing Analyst at Sharp Packaging Services coordinating pricing estimates for new business in pharmaceutical packaging. Requires strong financial and engineering background with 5+ years of experience.
About the role
- Data Pricing Specialist designing and monitoring data solutions for pricing strategies at Allianz Direct. Collaborating closely with business teams to enhance pricing sophistication and decision-making.
Responsibilities
- Build, automate, and maintain data pipelines to support pricing and analytics needs.
- Ensure high data quality, consistency, and accessibility across multiple internal and external sources.
- Implement monitoring solutions for data integrity and pipeline performance.
- Support the development of pricing models (risk, demand, elasticity, optimization, LTV, etc.) through data preparation and feature engineering.
- Apply advanced statistical methods and machine learning techniques to improve model performance and business insights.
- Industrialize and deploy models into production environments in collaboration with tech and actuarial teams.
- Identify and integrate new data sources (internal & external) to enhance pricing capabilities.
- Develop business monitoring tools, KPIs, and dashboards for pricing, underwriting, and data performance tracking.
- Ensure compliance with Allianz Group’s methodological standards and governance requirements.
- Partner closely with Pricing, Product, Underwriting, and Business Analytics teams to translate data insights into strategic actions.
- Present technical results to non-technical stakeholders, bridging the gap between data science and business impact.
- Drive innovation in data practices, continuously exploring new methodologies, tools, and technologies.
Requirements
- Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Solid programming skills in Python and SQL, with experience using version control systems (Git).
- Experience in data engineering tools (ETL/ELT frameworks, Databricks, Airflow, dbt, Spark, etc.) and cloud platforms (Azure, AWS, or GCP).
- Strong foundation in machine learning and statistical modeling.
- Experience with data visualization & BI tools (Power BI, Tableau, or similar).
- Knowledge of insurance or financial services pricing concepts is a strong plus.
- Familiarity with specialized pricing software (Radar, Earnix, Akur8, Quantee) is desirable but not mandatory.
- Professional proficiency in English.
- Strong problem-solving skills, curiosity, and ability to explain complex data insights to diverse stakeholders.
Benefits
- Health insurance
- Retirement plans
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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