Data Analyst II, Incentive Compensation
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Job Description
Structured overview of role & requirementsAbout This Role
Manage and enhance the in-house Sales Crediting Platform ensuring timely, accurate processing of sales crediting operations.
Develop and maintain scalable data pipelines, transformations, validations, and reporting using SQL, Python, and Databricks for Incentive Compensation processes.
Identify and implement automation and AI-enabled solutions to improve platform efficiency, data quality, and operational KPIs while collaborating with multiple stakeholders across Commercial, IT, and Data teams.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, IT, Business Analytics, Statistics, Mathematics, or related field.
3–6 years of experience in data engineering, data analytics, business intelligence, or technical data platform roles.
Strong hands-on experience with SQL, Python, and Databricks or similar cloud data platforms.
Experience working with large complex datasets and developing scalable data pipelines.
Ideal Candidate Profile
Demonstrated ability to translate complex business rules into scalable technical implementations with a strong focus on data quality, validation, and reconciliation.
Experience working cross-functionally with business and technical stakeholders to deliver end-to-end platform enhancements including testing, deployment, and operational support.
Practical knowledge or interest in applying AI/GenAI, machine learning, and automation technologies within data pipeline and incentive compensation contexts.