Description:

The Analytics Engineer will report to the Senior Director of Revenue Operations and work with the Business Operations team and its partner teams.
The primary responsibility is to develop and maintain critical reporting and analytics architecture.
The role involves maintaining and expanding the Business Operations team’s reporting capabilities through thoughtful design of SQL architecture.
The Analytics Engineer will increase the team’s total analytics capacity by introducing or improving automation wherever possible.
The position requires collaboration with team members in Revenue Operations to keep sales reporting up to date, ensuring all changes to sales processes or CRM management are accurately reflected in downstream reporting frameworks.
The role includes improving and expanding monitoring of data quality, exception reporting, and status reporting on all analytics jobs and pipelines owned by the Business Operations team.
The Analytics Engineer will work with Business Operations Analysts to streamline their modeling and other analytics processes.
Responsibilities also include monitoring and troubleshooting issues along a data pipeline that serves reporting to the business.
The role involves data documentation and expansion of the team’s data dictionary and directory.
The Analytics Engineer will support partner teams as needed by explaining reporting frameworks and metrics, and occasionally performing ad-hoc analyses or expanding existing dashboards.

Requirements:

Candidates must have advanced SQL skills and at least 5 years of SQL experience, preferably with Snowflake or a similar cloud SQL data warehouse.
A minimum of 2 years of experience with a SQL modeling tool such as DBT, SQLDBM, or similar is required.
Intermediate to advanced Python skills are necessary, along with familiarity with cloud notebooks and Python libraries including or similar to pandas, snowflake connector or SQLAlchemy, requests, and json.
Candidates should have at least 3 years of experience developing and maintaining reporting with one or more BI tools such as Looker (preferred), Tableau, PowerBI, Sigma, Metabase, or similar.
A minimum of 2 years of experience working with version control tools such as Github is required.
Experience working with data from Salesforce, Hubspot, or a similar CRM is necessary.
Candidates must have experience being responsible for the maintenance of business-critical data models and reporting frameworks.
Familiarity with common B2B SaaS go-to-market and financial metrics (e.g., conversion metrics, churn rates, net and gross dollar retention) is required.
Experience with Airflow or another orchestration tool is a bonus.
Experience with Databricks is also a bonus.