data analyst

The Data Analyst provides business and technical expertise in collecting, analyzing, mining data
to support enterprise data management solutions. The Data Analyst will work on, and may lead,
project teams to support a variety of customer needs in the design and development of data
solutions. They will also play an advisory role in the analysis of source data, modelling, ETL solution
design, development and testing.
Description: •
• Conduct analysis of source systems to understand the data, types of data, relationships
and quality.
• Collaborate with the business and technical teams to identify source systems
• 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).
• 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.
• 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.
• Contribute to corporate data management best practices and implementation
methodologies by reviewing, updating, developing documents such as templates,
presentations, trainings, etc.
• Lead and mentor junior developers in data quality standards, best practices, etc.
• Stay current on new Data Quality & Analysis practices and supporting technologies.
Responsibilities:
•

• 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