Interprets data and turns it into information which can offer ways to improve how the data is used within the business, thus affecting business decisions
Gathers information from various sources and interprets patterns and trends
Develops reports and dashboards to visualize findings
Conducts descriptive and diagnostic analytics on data sources
Applies machine learning and machine learning tools on data and metadata to improve data quality
Identifies patterns and trends in data sets
Creates reports and dashboards on analysis results using business intelligence technologies
Develops data profiles for data tables and elements in the data lake
Creates data catalog entries, ensures data catalog metadata quality
Analyzes diverse data sets to identify data quality, coherency and integrability issues and reduce data redundancy
Collaborates to develop data cleansing methods and rules
Assists in creation and maintenance of documentation of key decisions, rules, controls and processes
Requirements
College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required
Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities
Knowledge of the latest technologies and trends in data science is highly preferred and includes:
SQL query language execution on NOSql and SQL sources
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