A CDM Analyst plays a crucial role in ensuring that data is accurately mapped and transformed into a Common Data Model (CDM). This involves understanding the source systems, identifying data elements, and defining the structure and relationships within the CDM. The analyst ensures data integrity, consistency, and quality, which are essential for downstream analytics and reporting. They work closely with data engineers, data scientists, and business stakeholders to align data models with business needs and regulatory requirements.

When mapping data into a CDM, I first conduct a thorough analysis of the source systems to understand the data structure, formats, and relationships. I then identify the key data elements required for the CDM and define the mapping rules. Using ETL tools, I transform and load the data into the CDM, ensuring that data types, formats, and relationships are correctly preserved. Throughout the process, I validate the data to ensure accuracy and consistency, and I document the mapping rules for future reference and maintenance.

To ensure data quality and integrity, I implement a combination of automated and manual validation checks. This includes verifying data types, formats, and relationships, as well as performing data profiling to identify anomalies and inconsistencies. I also establish data governance policies and procedures to maintain data quality over time. Regular audits and reviews are conducted to monitor data quality, and any issues are promptly addressed to prevent data degradation.

When encountering data discrepancies or conflicts, I first identify the root cause of the issue by comparing the source data and the CDM. I then work with the relevant stakeholders to determine the best course of action, which may involve data cleansing, reconciliation, or manual intervention. I document the resolution process and update the mapping rules to prevent future occurrences. Effective communication with stakeholders is key to resolving conflicts and ensuring data consistency.

In a previous project, I was tasked with integrating data from multiple legacy systems into a new CDM. The challenge was that the source data had inconsistent formats and lacked documentation. To overcome this, I conducted extensive data profiling and collaborated with subject matter experts to understand the data. I then developed a detailed mapping plan and used ETL tools to transform the data. By implementing rigorous validation checks and maintaining clear documentation, I ensured the successful integration of the data into the CDM, meeting all project requirements.