The Analytics Engineering team is dedicated to the empowerment of all people through the use of scalable and trusted data sets. We drive alignment on core business metrics and enable other teams to experiment with novel operational metrics to track the business. The AE team is a subset of the Business Systems team, and partners across the org to drive education and enablement for all employees.
The Role
As a Senior Analytics Engineer at Outreach.io, you will drive the success of Outreach’s Analytics and Operational programs through the production, documentation, and curation of certified data sources and models. You practice scalable coding practices, write efficient SQL, and document your work so that future stakeholders will already have their questions answered. You are the “T” in ELT (Extract-Load-Transform), and turn the data pipelines from our Data Engineering team into useful models for our Analytics and self service Data Champions to adopt and answer their own business questions. Overall, you make Data at Outreach.io a more trusted, governed, and powerful asset for all employees.
Location: We’re looking to hire this position remote within the US. #LI-Remote
Your Daily Adventures Will Include
Model and document new datasets (both structured and semi-structured) to exploit the value therein across all our business units
Partner with subject matter experts to document, align and automate business metrics that define success
Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits
Own the design, monitoring, and deployment of certified data sources on our reporting platforms and warehouses
Insist on the highest standards for data reproducibility, auditability and compliance
Serve as a subject matter expert for data strategy thought leadership and implementation across the business
Enable non-BI&A team stakeholders to adopt data as part of their business and usual
Our Vision Of You
Ability to communicate complex concepts in a clear and concise manner to audiences from fellow analysts to senior executive level
Effective storyteller with an emphasis on visual best practices and discoverability
Expert SQL (Postgres/Snowflake Preferred)
History of working with or as a Business Analyst
Record of preemptive communication and documentation strategies favoring self-service education
Familiarity with Outreach tech stack: Snowflake, DBT, Airflow, Tableau, History of Query and Data Pipeline optimization
Have working knowledge with ML pipelines (i.e. Sagemaker)
Knowledge of multi-dimensional data modeling
Experience working in modern ELT environments
Code documentation best practices
Worked with business stakeholders for requirements gathering and documentation
Experience with Spark Ecosystem (Delta Lake, Databricks, etc.) is a plus
Experience in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake or Databricks is a nice to have.