Job Description
Title: Senior Analytics Engineer
Location: Remote
Mammoth Growth is a consulting firm that has helped over 400 companies build out their data infrastructure and get to accurate, reliable, consistent data that can be leveraged for growth. We are trusted by industry leaders from DoorDash to Shipt to verify their data, manage their reporting infrastructure and provide recommendations and insights that achieve measurable results.
We’re looking for a talented Senior Analytics Engineer with extensive experience designing and building ELT-driven data models within a modern data stack. We build cutting edge analytics environments at Mammoth Growth.
As a Sr. Analytics Engineer in a rapidly growing team environment, you will work with a variety of exciting high growth businesses building their future data environment. This is an excellent opportunity to learn, sharpen and broaden your skills in a fast-paced, challenging environment.
In this role you’ll not only have a chance to get at the data but also be influential in what to do with the data (sales, marketing, product, ops).
We do our work in a modern data stack environment, working with the best tools in the industry: Snowflake, BigQuery, Redshift, dbt, Looker, Tableau, Sigma, Fivetran, Stitch, Hightouch, Census, Datafold, Github, and more – and you will get an opportunity to learn them all!
What You’ll Do:
- Design and build new ELT-based data models using SQL and dbt
- Act as the standard for quality and excellence for the rest of the team
- Set up entire data environments: loading data, transforming, extracting
- Work on the hardest problems
- Leading the debug and troubleshoot effort
- Participate in architectural decisions
- Participate in task breakdowns, and level-of-effort analysis
- Participate in modern workflows such as source code and code reviews
What You’ll Need:
- Industry leading analytical SQL skills
- dbt experience
- Cloud-based data warehouse experience ( Snowflake / BigQuery / etc)
- ETL tools experience (Fivetran, Stitch, Hightouch, Census, etc)
- Understanding of data best practices
- Business intelligence (BI) tools experience (Looker, Tableau)
- Engineering best practices & problem solving skills
Qualities:
- Independently organized; self-starter; ability to work with minimal direction
- Enjoy learning new tools to better solve new challenges
- Inquisitive with an attention to detail and ability to ask the right questions
- Good communication / client facing skills / ability to work in a team environment
- Can switch between simultaneous projects easily
