ABOUT TILRAY BRANDS, INC. Tilray Brands, Inc. ("Tilray") (Nasdaq: TLRY; TSX: TLRY), is a leading global lifestyle and consumer packaged goods company with operations in Canada, the United States, Europe, Australia, and Latin America that is leading as a transformative force at the nexus of cannabis, beverage, wellness, and entertainment, elevating lives through moments of connection. Tilray's mission is to be a leading premium lifestyle company with a house of brands and innovative products that inspire joy, wellness and create memorable experiences. Tilray's unprecedented platform supports over 40 brands in over 20 countries, including comprehensive cannabis offerings, hemp-based foods, and craft beverages. Looking to develop your career at the forefront of a rapidly expanding industry?
JOB SUMMARY:
As the Data & Analytics Intern, you will have the opportunity to apply your knowledge on a real-world project relating to data structuring, cleaning, transforming, loading, storing, consolidating, and visualizing.
Reporting to the Director, Data and Analytics the Data and Analytics, intern would work on a project requiring stakeholder input from cross-functional teams.
This is a great 3-month paid internship opportunity for third or fourth-year students, as well as new graduates looking for real-world experience. The project will encompass data consolidation, with implementation of ETL, data modelling, data setup, data mapping, data warehousing in preparation of utilizing AI and ML models.
REQUIREMENTS:
ERP Systems Management: Ensure efficient operation and integration of ERP systems.
Master Data Structures: Manage and maintain master data structures, including Bills of Materials and reporting attributes/dimensions.
Microsoft Azure Cloud Platform: Utilize Microsoft Azure Cloud Platform offerings to support business operations.
Business Central: Implement and manage Business Central solutions.
Power Platform: Develop and maintain applications using the Power Platform.
Microsoft Co-Pilot: Leverage Microsoft Co-Pilot for enhanced productivity and collaboration.
Fabric: Work with Fabric to support data integration and management.
Data Lakes: Manage and utilize data lakes for storage and analysis.
Data Warehousing (SQL): Design, implement, and maintain data warehousing solutions using SQL.
Python Programming: Apply Python for data analysis and automation tasks.
Workflow Software (Power Flows): Develop and manage workflows using Power Flows.
Data Cleaning: Perform data cleaning to ensure data quality and integrity.
Statistics: Apply statistical methods to analyze data and support decision-making.
ROLES AND RESPONSIBILITIES:
Building, Automation, and Modelling of:
Data gathering, identifying sources, and current data structures.
Creating automation, where allowable, to move data to consolidated folders as a workflow data source (typically Excel, CSV, SQL data in the pre-cleaned/transformation state).
Extracting and transforming data with a forward-looking solution (mitigation of current issues).
Building SQL data structures/procedures to stage and move data to production.
Building models to process data and generate predictions/insights.
Building checks and balances for notification of data changes that may prompt updates to the workflow.
Working with the Data Engineering team to implement automated solutions.
Pulling the data into the Power BI repositories for visualization by our team and other teams.
Transforming data into a new structure.
Building visualizations where needed.
Accommodations are available for applicants with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings, please advise when submitting your application.
Please note that Tilray does not authorize, engage, or sponsor any consultants, agencies or organizations that seek certain personal or financial information from you (e.g. passwords, login ids, credit card information). Tilray does not charge any application, processing or onboarding fee at any stage of the recruitment or hiring process.
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Application from outside Canada
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