Key responsibilities include:

• Listen to stakeholders and develop a deep understanding of their needs and priorities
• Research and identify data and analytical business needs and determine possible solutions
• Automate data sets for analytical, reporting or analytical consumption
• Design, build and operate robust and scalable dashboards and visualizations
• Perform light statistical analysis and machine learning
• Conduct data discovery, profiling, analyze data lineage and determine schema
• Model data in normalized, denormalized and graph structures
• Support data migrations in systems transformations
• Tenaciously solve problems and make decisions under uncertainty
• Actively contribute to team ceremonies including: sprint planning, daily stand-up, sprint review and retrospectives
• Demonstrate a strong ownership in understanding business needs and driving business valued outcome

Required qualifications:

• University degree in a quantitative concentration: Computer Science, Engineering, Mathematics, Economics or equivalent
• 2 years of hands on experience designing, building and operating dashboards and visualizations in Tableau or equivalent
• 2 years of hands on experience working with databases and writing SQL queries
• 2 years effectively communicating complex topics with non-technical users
• 2 years applying statistical analysis
• 2 years of experience modelling data in normalized, denormalized and graph structures
• Excellent proficiency with Microsoft Excel
• Intermediate proficiency with Python and SQL
• Passionate about learning everyday
• Fluent in English

Preferred qualifications:

• Experience with AWS
• Experience with Databricks
• Experience wrangling data in Python leveraging Pandas, PySpark and SQL Alchemy
• Experience with cloud based data warehouses (Redshift, Snowflake)