This role sits at the intersection of analytics, data science, and data engineering. As an Analytics Engineer, you'll build internal data products that influence decision-making across the whole company. You'll have enormous autonomy in leading analytics projects, as well as designing and maintaining the data pipelines that power them.
Who you are
- Strong proficiency in Python, SQL, and cloud services for data processing, warehousing, and orchestration.
- Obsessively detail-oriented over establishing accurate metrics with analytical rigor.
- A proactive cross-functional champion for data-driven decision-making, data integrity, and rigorous data requirements grounded in business needs.
- Enthusiast about statistical methods, time-series forecasting, experimental design, and hypothesis testing.
- Familiarity with database internals and building reliable ETL/ELT pipelines.
- Experience optimizing queries and data systems for performance and cost.
What you could do
- Design and maintain canonical datasets that serve as sources of truth for metrics across the entire company.
- Build end-to-end data pipelines for analyzing petabytes of web search data.
- Scale analytics across the company by building data products, self-serve tools, and internal BI tools for product, finance, marketing, and GTM teams.
- Develop quantitative models that form the basis for our forecasting and experimentation.
- Own the A/B testing infrastructure used to test hypotheses about our product and business.
