Data Modeller Consultant

Job Description Required

• 6+ years of progressive experience in the data and analytics, including large customer data bases and work with product, geographic, demographic, customer, prospect, producer, social, machine and unstructured data to identify trends and opportunities), business consulting, or data governance field and/or manipulation of complex high-volume data from a variety of sources.
• Experience successfully developing and implementing complex data and analytic solutions which meet business needs within tight time frames.
• Experience in AWS.
• Programming in Python a plus.

• Candidates must have strong skills in data profiling, mapping , data modeling and data governance. Includes ability to query data repositories to determine.
• Source to target mappings, data quality, completeness and transformation rules necessary for merging into target repositories.
• Strong skills in Informatica, Informatica Data Quality, Information Analyzer, and IBM data architect, Erwin is big plus. Strong SQL skills are a must.
• Hands‑on experience in creating/updating conceptual, logical, and physical data models most appropriately needed to satisfy the business requirements.
• Should be able to understand and explain complex data integration and extraction/transformation/load processes (ETL).
• Should be able to work with the business to define scope of Data-centric or supportive projects.
• Should be competent in reviewing Project Initiation Document, Reference/Domain value mapping.
• Should be able to work with Business and Architects to identify Pain points impacting data capabilities.
• Should be able to establish program/project specific Data Analysis approach.
• Should be competent at Source-Target Data mapping, S/T Record building/ Join conditions, writing transformations building data lineage.
• Should be able to conduct Peer Reviews.
• Should be able to support ETL/Test questions, output file validation, defect analysis.
• Should ensure data analysts (and other data leads, as necessary) are following standard work and best practices.