Leaz Edutech Institute - Data Standardization Analyst (2-10 yrs)

Job Title : Data Standardization Analyst

About the Role :

We are seeking a Data Standardization Analyst to ensure consistency, accuracy, and integrity in data across multiple systems. The ideal candidate will play a crucial role in developing and implementing data standards, cleaning and normalizing data, and improving data governance practices.

Key Responsibilities :

- Develop and implement data standardization policies and best practices.

- Clean, normalize, and transform data from multiple sources to maintain consistency.

- Work with stakeholders to define data rules, formats, and validation methods.

- Identify and resolve data inconsistencies, redundancies, and discrepancies.

- Monitor data quality metrics and generate reports on data integrity.

- Collaborate with IT, data governance, and business teams to align data standards with organizational needs.

- Maintain documentation for data definitions, taxonomies, and standardization processes.

- Support data migration and integration projects by ensuring data consistency across platforms.

- Automate data standardization and validation processes where possible.

Required Qualifications :

- Bachelor's degree in Data Science, Computer Science, Information Systems, or a related field.

- Experience in data management, data quality, or data governance.

- Strong knowledge of data transformation techniques, standardization methodologies, and validation processes.

- Proficiency in SQL, Python, or other data manipulation tools.

- Experience with data integration and ETL tools is a plus.

- Knowledge of industry data standards (e.g., ISO, HL7, GDPR, etc.) is preferred.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

Preferred Skills :

- Experience with cloud-based data platforms (AWS, Azure, Google Cloud).

- Familiarity with data visualization and reporting tools (e.g., Power BI, Tableau).

- Knowledge of master data management (MDM) principles.

Why Join Us?

- Opportunity to work on impactful data projects.

- Collaborative and innovative work environment.

- Competitive salary and benefits package.