Analytics Engineer (L5) – Identity

Job Description

Develop and validate the appropriate metrics to measure success in the identity space Improve foundational data models while designing, owning, and implementing analytical layers and visualizations for scalable analytics Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis 5+ years of industry experience in a data analytics or data science function Expertise in SQL, programming skills (e. g. , Python or R, Scala), and some exposure to ETL and data warehousing concepts A proven track record of data analysis, maintaining analytical layers, reporting, and visualization (e.

g. , Plotly Dash, Streamlit, Tableau) Exceptional communication, storytelling, and collaboration skills coupled with strong business curiosity and acumen Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process Experience managing expectations and relationships across a variety of stakeholders Familiarity with applied A/B testing experimentation fundamentals is a plus

EWJD3