Senior Data Analyst

This individual will be tasked with the responsibility of ensuring the seamless flow of data between information systems, thereby enhancing operational efficiency and mitigating data mapping issues. The ideal candidate will demonstrate expertise in creating data maps without requiring coding knowledge or SQL proficiency.

The role involves developing a detailed data mapping specification, which entails analyzing how to transfer data from one system to another on a field-by-field basis. The ideal candidate should be skilled at creating a data mapping template and should be able to provide practical examples to demonstrate this process effectively.

Candidates should also have a good understanding of the elements of a data map, including a comprehensive list of attributes from the original data source and additional information from a data dictionary. Similarly, they should recognize the significance of a list of attributes for the target data repository, supported by the data dictionary. The candidate should be proficient in establishing translation rules that specify essential data transformations as information is transferred between the two sources. This involves tasks such as defining default values, combining fields, and mapping values from one context to another.

The successful applicant will play a pivotal role in ensuring the success of data migration and system integration projects.

This role will be primarily remote and could have annual travel of up to 10%

Competencies:

• Data Analysis: Proficiency in analyzing data flow between systems on a field-by-field basis to facilitate smooth data transfer.


• Mapping Specification: Ability to develop data mapping specifications for transferring data from one system to another, ensuring accurate placement of information in the target repository.


• Data Modeling: Experience in performing high-level data modeling, such as creating Entity Relationship Diagrams and system context diagrams.


• Translation Rules: Proficient in defining and implementing translation rules to manage data manipulation during transfer, including setting default values and combining fields.


• Issue Resolution: Skilled in identifying and resolving potential data mapping issues upfront to prevent errors during actual data transfer, including data loss or misrepresentation.


• Collaboration: Ability to collaborate effectively with business stakeholders to understand their needs and align data mapping processes with business objectives.


• Problem-solving: Capacity to address complex mapping issues and find pragmatic solutions in coordination with business stakeholders.