Data Analytics Engineer (Remote)

We need experienced and passionate data professionals to help us realize that value and unlock the insights that exist at the intersection of our operational, financial, and product data. This is a unique opportunity to join a fast growing startup and build our data team, culture, and processes from the ground up.
What You’ll Do
Design, develop, and maintain scalable data pipelines and ELT processes for our data lake/data warehouse
Implement data orchestration tools to automate and streamline data workflows.
Work with our AI Solutions team to implement AI enhanced processes throughout the organization
Build and integrate machine learning models and data pipelines into end-to-end analytics solutions
Build and manage reverse ETL workflows to business systems such as the CRM
Support development of predictive models to support strategic and operational initiatives
Develop and maintain comprehensive documentation for data processes and systems.
Build production-ready data models and schemas using DBT to support downstream analytics
Collaborate with cross-functional teams to define and implement data governance policies and best practices.
Manage our modern analytics tech stack to support the democratization of data and analytics through dashboards, reports, and predictive models
Support analysts in developing dashboards, data products, and ad hoc report studies to analyze and present data associated with GTM analytics, product performance, business operations, and strategic decision-making
Must Haves
Proficiency in SQL
Proficiency in any statistical programming language (i.e, Python or R)
Hands-on experience building and managing ETL and rETL workflows
Strong understanding of data engineering principles, including ETL/ELT processes, data modeling, and data warehousing
Experience with workflow orchestration tools, such as Airflow
Experience with ETL/ELT tools, such as Fivetran
Experience with cloud data warehouse and transformation tools (e.g.,, snowflake, DBT etc)
Nice to Haves
Experience working with AI workflow orchestration tools such as AirOps or Vectorshift
Experience working with entitlements and connecting the CRM to the Platform to gatekeep product features
Experience setting up large scale integrations to pull data from various Google products
Experience working with BI tools (Tableau, SiSense, Sigma, or Looker etc)
Ability to communicate technical concepts to both technical and non-technical audiences through visualizations and presentations
Ability to partner with leadership and stakeholders across the company to understand business needs and how these can be addressed through analytics
Experience in a B2B or SaaS environment, supporting functions such as sales, marketing, product development, and/or customer success.