The Role 

We are hiring a Senior Analytics Engineer to enable Path’s Analytics and Operations teams through transformed data-sets. This person will be responsible for working with stakeholders across the business to take raw data from the warehouse and create easy-to-use, high performance, tested data-sets. This person will apply engineering best practices to ensure that high quality data is available in a timely manner for the teams that need it most. You will be the glue between our technical and non-technical teams, driving clarity in requirements to meet the data needs of Path.

You Will 

• Refine and create processes for our ELT pipeline (Redshift, dbt, Looker).
• Work with stakeholders across the company (Data Engineering, Analytics, Operations) to understand their needs and make sure that tested and usable data-sets are made available in the right analysis tools.
• Administer BI tooling by making sure we’re using the right features and the data-sets that make it into those tools are documented for easy hand-off.
• Execute our roadmap as new data sources become available to move them through a version controlled process into modeled output.
• Guide and train business users on the right tool and tables to get what they need.
• Optimize queries across reporting for high performance.
• Create tests and alerts for data freshness and quality throughout our ELT pipelines.

You Have 

• 5+ years of experience working directly as a developer in analytics engineering, data engineering or technical analytics.
• Expert level SQL skills, with some experience using Python.
• Experience with data modeling - you know the popular frameworks and when to apply them.
• Process driven mindset - you’ll be tasked with creating repeatable processes for how we define, architect, and deliver against requirements for our ELT pipelines.
• Highly collaborative and skilled approach to working with and influencing stakeholders across the company (technical and non-technical audiences).
• Highly analytical mindset - you have empathy for your key customers and enjoy helping them understand and make use of the data they need.
• Strong communication skills that can bridge the gap between technical and non-technical parties to find the right solution.
• Comfort with ambiguity and a high growth/rapidly changing environment.