Data analyst with quantitative analytics

Job Description:

What You’ll Be Doing:

· Developing metrics and methods to analyze the performance of our products, as well as providing reporting on those efforts.

· Become a subject matter expert on the data generated by our products and used by our Product, Engineering, Marketing, FP&A, and Business Operations teams for decision making

· Drive business case analysis, modeling, and recommendations (e.g., opportunity sizing, impact analysis, forecasting)

· Collaborate closely with data engineering to design and build technical processes that address business issues

· Creating and updating dbt models to improve availability and accessibility of new and existing datasets

· Deliver findings to multiple levels of leadership with effective presentations and visualizations

· Develop and automate the delivery of data views, dashboards, and self-service data exploration to provide insights at scale using Looker and dbt

· Support our global effort to standardize data and model documentation as part of a global cross-functional initiative

What We’ll Expect From You:

· Minimum 3 years of relevant experience in a quantitative analytics role, focused on reporting development

· Advanced experience querying data (SQL), developing dbt models, and performing ad-hoc analysis (Excel/Google Sheets) required

· Experience with data modeling in Looker. Experience in metabase or other BI tools (e.g. Tableau, PowerBI) a strong asset.

· Ability to effectively summarize analysis and communicate findings in the form of presentations (Powerpoint / Google Slides), and present those findings to leadership.

· Experience scripting in Python or working with Airflow a plus.