Data Analyst Analytics Trainee

1. Managing master data including creation updates and deletion.
2. Managing users and user roles.
3. Provide quality assurance of imported data working with quality assurance analysts if necessary.
4. Commissioning and decommissioning of data sets.
5. Processing confidential data and information according to guidelines.
6. Helping develop reports and analysis.
7. Managing and designing the reporting environment including data sources security and metadata.
8. Supporting the data warehouse in identifying and revising reporting requirements.
9. Supporting initiatives for data integrity and normalization.
10. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
11. Generating reports from single or multiple systems.
12. Troubleshooting the reporting database environment and reports.
13. Evaluating changes and updates to source production systems.
14. Training endusers on new reports and dashboards.
15. Providing technical expertise in data storage structures data mining and data cleansing.

• Data modeling data warehousing and building ETL pipelines
• Detailed knowledge of cloudbased data warehouses (primarily AWS) architecture infrastructure components ETL and reporting/analytic tools and environments.
• Must have experience with Big Data technologies such as Hive/Spark AWS Glue AWS Lambda Redshift
• Strong Python SQL Power BI Excel

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