Planning and providing high quality analytical input to support the development and implementation of innovative processes and problem resolution.
Capturing, validating and documenting business and data requirements, making sure they are in line with key strategic principles.
Interrogating, interpreting and visualising large volumes of data to identify, support and challenge business opportunities and identify solutions.
Performing data extraction, storage, manipulation, processing and analysis
Conducting and supporting options analysis, identifying the most appropriate solution
Helping to maintain full traceability and linkage of business requirements of analytics outputs
Seeking opportunities to challenge and improve current business processes, ensuring the best result for the customer
Creating and executing quality assurance at various stages of the project in order to validate the analysis and to ensure data quality, identify data inconsistencies, and resolve as needed
Requirements
Strong analytic and problem solving abilities
A keen eye for detail in your work
Strong hands-on experience with Snowflake, including : Designing and querying data models
Writing efficient SQL for data extraction, transformation and analysis
Working with Snowflake features such as warehouses, stages, and data sharing
Solid proficiency in Python for data analysis and automation, including : Use of libraries such as Pandas, NumPy and Requests
Writing clean, reusable scripts for data processing and transformation