What are the responsibilities and job description for the Staff Data Engineer, Analytics position at Afresh?
About the Role :
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Afresh’s analytics platform allows teams across the company to create reliable metrics from our disparate data sources, and to use those metrics to track internal performance, power new reporting products for our customers, and drive experiment-based decision-making.
Our growing suite of reporting products helps our customers understand what’s happening in their stores and how to use Afresh effectively to reduce food waste. Building these products includes strengthening the analytics platform that powers them.
The Data Science and Analytics team collaborates closely with every team in the company, empowering them to build products and make decisions with data. You will regularly interact with data engineers, applied scientists, data scientists, full stack engineers, and product managers.
As a Staff Data Engineer on the Data Science team, you will own the development of our analytics platform. In this role, you will evolve our data warehouse schema, solidify our transform architecture, and establish data governance patterns to serve our internal and external analytics needs. Some of your responsibilities will include :
- Improving and extending our data analytics architecture to provide reliable and accessible data for a wide range of use cases.
- Collaborating with engineers, product managers, and data scientists to understand their data needs, and then build extensible dimensional models and semantic layer metrics that allow for consistent and reliable insights.
- Evolving our existing data quality and data governance processes.
- Mentoring and up-skilling other engineers.
This is a high-impact role with ownership of highly visible projects and a lot of room to grow in your scope.
Skills and Experience :
Pay Range in USD : Pay Range in CAN :
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