What are the responsibilities and job description for the Senior Analytics Engineer position at Thistle?
About The Role
The Senior Analytics Engineer will play a critical leadership role in shaping and scaling Thistle’s data infrastructure, strategy, and culture. You will be responsible for driving the evolution of our modern data stack, delivering robust and high-quality data models, and enabling strategic, data-informed decisions throughout the business.
As a senior member of the Analytics team, you’ll act as both a technical expert and thought partner to cross-functional leaders, including marketing, product, engineering, operations, and finance. Your work will have a direct impact on Thistle’s growth trajectory, operational efficiency, and customer experience.
How You’ll Make a Difference
The Senior Analytics Engineer will play a critical leadership role in shaping and scaling Thistle’s data infrastructure, strategy, and culture. You will be responsible for driving the evolution of our modern data stack, delivering robust and high-quality data models, and enabling strategic, data-informed decisions throughout the business.
As a senior member of the Analytics team, you’ll act as both a technical expert and thought partner to cross-functional leaders, including marketing, product, engineering, operations, and finance. Your work will have a direct impact on Thistle’s growth trajectory, operational efficiency, and customer experience.
How You’ll Make a Difference
- Own the architecture and governance of Thistle’s end-to-end data infrastructure, ensuring scalability, reliability, and adherence to best practices.
- Lead the design and implementation of our core data models and pipelines (ETL/ELT), enabling advanced analytics, reporting, and experimentation.
- Drive cross-functional alignment on data definitions, metrics, and source-of-truth models to ensure consistency and clarity across teams.
- Develop and mentor analytics engineers and analysts, elevating technical standards and fostering a data-driven mindset throughout the company.
- Serve as a strategic partner to senior leadership by identifying opportunities for data to unlock business value and advising on high-impact initiatives.
- Continuously optimize the performance of our data warehouse (e.g., Snowflake, BigQuery, or Redshift), workflows, and query efficiency.
- Champion best-in-class tooling and practices, including dbt, Airflow, version control, testing frameworks, and documentation standards.
- Support self-serve analytics by building scalable, intuitive data products, dashboards, and exploration tools tailored to business stakeholders.
Salary : $151,000 - $166,000