IDQ Version 10.4 background in either Banking, Telecom or Pharma comfortable with building new rules/LDOs as well as modifying/decomposing existing rules/LDOs
Advanced SQL is must for these roles.
The DQ Analyst develops DQ Quality Profiles and Rules which ensure the integrity and quality of data.
The DQ Analyst will assist in implementing Data Quality solutions and should have advanced knowledge in data quality management, extensive expertise in full development cycle and be proficient in the use of data quality platforms and tools for profiling, prototyping, and data analysis.
Responsible for the design of data quality solutions using standardized platforms & tools.
Responsible for the development of data quality controls in Santander data controls models in accordance with business/regulatory requirements.
Perform analysis and provide recommendations for modification or creation of business/technical rules based on data results.
Experience in performing data profiling, data mapping, data validation, data manipulation, data analysis.
Work on data transformation projects driven by IT and lines of business to ensure accuracy, consistency, availability of data across systems and business areas.
Partners with development and business resources in all phases of Data Quality Implementation.
Participate as a member of key cross-functional working groups related to data quality, and the company's Data Governance Working
Group representing the data domain, if required.
Strong competency with [IDQ v10]
Bachelor’s in computer science engineering or similar field
Very strong Informatica (specifically IDQ), SQL and database skills, Python and R are a plus.
Between 5-10 years of experience with 3+ years’ experience in data quality implementation with a major consulting organization (focused on the financial industry) or, as a data analyst at a major financial institution.
Awareness of project management approaches and techniques.
Interest in data management platforms and tools.
Excellent analytical and problem-solving skills.
Demonstrated experience with Microsoft Office (Outlook, Word, Excel & PowerPoint).
Strong MS Excel skills.
Detail oriented with strong organizational and analytical skills.
Strong problem solving and analytic skills
Excellent oral and written communication skills
Knowledge of Informatica, JIRA and GitLab is a plus.