**About the Team**
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 Intelligence & Analytics team, and partners across the org to drive education and enablement for all employees.
**The Role**
As an 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: This position is located in Mexico City.
**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
- 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
- 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
