Remote Data Analytics Engineer

Description:

• The Analytics Engineer will report to the Senior Director of Revenue Operations and work with the Business Operations team and its partner teams.
• This role involves developing and maintaining critical reporting and analytics architecture.
• The Analytics Engineer will work directly with stakeholders to create and refine new reports and dashboards as needed.
• Key responsibilities include maintaining and expanding the Business Operations team’s reporting capabilities through thoughtful design of SQL architecture.
• The role also involves increasing the team’s analytics capacity by introducing or improving automation wherever possible.
• The Analytics Engineer will ensure that sales reporting is up to date by reflecting all changes to the sales process or CRM management in downstream reporting frameworks.
• Responsibilities include 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 role requires collaboration with Business Operations Analysts to streamline their modeling and analytics processes.
• Monitoring and troubleshooting issues along the data pipeline that serves reporting to the business is also a key responsibility.
• The Analytics Engineer will be responsible for data documentation and expanding the team’s data dictionary and directory.
• Support for partner teams in explaining reporting frameworks and metrics, as well as performing ad-hoc analyses or expanding existing dashboards, is also part of the role.

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 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, such as conversion metrics, churn rates, and net and gross dollar retention, is required.
• Experience with Airflow or another orchestration tool is a bonus.
• Experience with Databricks is also considered a bonus.

Benefits:

• The position offers a competitive total compensation package.
• A 401k plan is included as part of the benefits.
• Medical, dental, and vision coverage is provided.
• There is a wellness reimbursement program available.
• Education reimbursement is also offered.
• Employees enjoy flexible time off.