Precisely's internship program is for rising junior and senior undergraduate students.
Strong Critical Thinking Skills – Ability to analyze complex data challenges, identify patterns, and develop innovative solutions.
Problem-Solving Abilities – Demonstrated experience in troubleshooting and resolving data-related issues with a logical and structured approach.
Software Development Experience – Familiarity with programming languages such as Python, Java, or SQL for data processing and rule automation.
Understanding of Data Science Concepts – Knowledge of data analysis, machine learning, or statistical methods to support data quality initiatives.
Detail-Oriented & Analytical Mindset – Capacity to evaluate data integrity and recommend improvements to data quality processes.
Responsibilities:
Curate and Analyze Data Quality Rules – Identify, collect, and document existing data quality rules from core Data Quality products to build a comprehensive repository.
Research and Optimize Rule Application – Investigate and propose methods to enhance the efficiency and automation of data quality rule application.
Support Data Governance Initiatives – Assist in evaluating and refining data quality standards to improve data integrity and consistency.
Collaborate with Cross-Functional Teams – Work closely with technical and business stakeholders to ensure data quality solutions align with organizational goals.
Generate Insights & Reports – Provide insights and recommendations based on research findings to support data-driven decision-making.