Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Brand, mid-level (3–6 yrs), generalist Data Analyst title, and metro Hyderabad increase competition.
Core data engineering skills transfer across industries, but incentive-compensation domain knowledge raises specificity moderately.
Explicit 3–6 years requirement plus mandatory SQL/Python/Databricks skills creates moderate filtering.
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.
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.
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.