Lead DA
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Conduct analysis of source systems to understand the data, types of data, relationships and quality.
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Collaborate with the business and technical teams to identify source systems
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Create functional & technical documents documenting the plan and findings of analysis in order to act as a foundation of knowledge of the data within a system(s).
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Collaborate with business users to identify attributes that require data quality and corresponding business rules. Profile data, analyse user requirements, and translate & apply business rules to data quality rules.
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Through data profiling and data quality assessments, produce and understanding of the overall condition of data within a system(s), documentation of the issues, and in the case of data issues, the recommendations to remediate.
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Contribute to corporate data management best practices and implementation methodologies by reviewing, updating, developing documents such as templates, presentations, trainings, etc.
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Lead and mentor junior developers in data quality standards, best practices, etc.
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Stay current on new Data Quality & Analysis practices and supporting technologies.
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Minimum 3 years’ industry experience with a data analysis & quality tool such as Talend, Informatica, Trillium or similar
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3-5 years consulting experience preferred
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Strong understanding of data quality best practices and worked on understanding Informatica pipelines.
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Strong understanding of data analysis best practices and concepts
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Strong understanding of database design and development methodology, including query optimisation
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Strong understanding of relevant and emerging database technologies and tools
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Hands-on experience with large scale data warehousing and analytics projects
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Strong SQL skills required
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ETL experience a plus
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Strong pattern recognition skills, strong memory and attention to detail
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Knowledge, Skills & Abilities
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Minimum 3 years’ industry experience with a data analysis & quality tool such as Talend, Informatica, Trillium or similar
-
3-5 years consulting experience preferred
-
Strong understanding of data quality best practices and worked on understanding Informatica pipelines.
-
Strong understanding of data analysis best practices and concepts
-
Strong understanding of database design and development methodology, including query optimisation
-
Strong understanding of relevant and emerging database technologies and tools
-
Hands-on experience with large scale data warehousing and analytics projects
-
Strong SQL skills required
-
ETL experience a plus
-
Strong pattern recognition skills, strong memory and attention to detail
-
Knowledge, Skills & Abilities