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Data Quality Research Analyst Intern

Precisely
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Intro and job overview:

Precisely’s Summer Internship Program is a paid, part-time opportunity for undergraduate students actively enrolled in university. This is an 10-week program that begins June 9th and ends on August 15th. This opportunity is 100% remote and you must be located in the United States during the summer internship. The Data Quality Research Analyst Intern will work closely with the Product Management team.

As a Data Quality Research Intern, you will be responsible for curating data quality rule research and accelerating rule automation. In this role, you will leverage a blend of technical and business skills to contribute effectively to data quality initiatives, helping to enhance and streamline data governance processes. The ideal candidate will have a keen interest in data integrity, automation, and analytical problem-solving to support the organization's data-driven decision-making.

Responsibilities and duties: 

  • 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.

Requirements and qualifications: 

  • Precisely's internship program is for rising junior and senior undergraduate students.
  • We prefer candidates in the Eastern Time Zone; however, all time zones are welcome to apply
  • 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.

Program benefits:

  • Valuable experience related to the degree you are pursuing.
  • Hands on experience at an established tech company.
  • Networking opportunities with company leaders around the globe.

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