Back
Mid-level generalist data role with common title and moderate brand increases applicant density.
Requires data warehousing and commercial analytics experience; moderately transferable across industries.
Explicit 3-year requirement plus mandatory SQL/Python/Snowflake and ETL skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain data warehousing, ETL pipelines, and reporting databases to improve query efficiency, data modelling, and scale data systems.
Partner with Sales and Marketing to analyze complex datasets for trends, opportunities, and performance measurement; influence stakeholders to optimize business/function metrics.
Identify, prioritize, and implement automation and AI-enabled analytics solutions for scalable business workflows and actionable insights.
Bachelor's degree in computer science, statistics, mathematics, information systems, engineering or related discipline.
Minimum ~3 years of experience in data operations with hands-on analytics development and large dataset manipulation.
Proficiency in SQL, Python, ETL development; strong preference for experience with Snowflake and data warehousing.
Experience with data visualization tools such as PowerBI or Tableau.
Experienced in architecting and scaling data models with strong quantitative analysis and data mining skills for performance measurement.
Comfortable collaborating cross-functionally and influencing stakeholders to adopt data-driven insights and process enhancements.
Skilled in identifying automation opportunities and applying AI-enabled solutions to streamline analytics and business processes.