Engine is looking to leverage data assets and advanced analytics to deliver product and business value across the organization and achieve company goals.
Requirements
- Experience building complex SQL queries
- Strong fundamentals in statistics and econometrics (e.g. regressions, hypothesis testing)
- Experience with Looker, Snowflake, and Amplitude is a plus
- Experience with data pipelines and data assets
- Experience with machine learning models
- Experience with business intelligence reporting dashboards
- Experience with statistical analyses and data modeling
Responsibilities
- Partnering with stakeholders across product, engineering, and design to lead metrics definition, reporting and analyses
- Lead key analytics projects and derive actionable insights to drive better product and business performance
- Design and build statistical analyses to both answer specific business questions and power some key product functionalities
- Build relevant data pipelines to generate and track relevant product and business metrics
- Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model
- Manage the company’s business intelligence reporting dashboards
- Participate in product and growth experiments
Other
- Bachelor’s degree in Data, Economics, Statistics, Operations Research or related quantitative field
- 4+ years of relevant work experience as a Data or Business Analyst with a track record of manipulating, and extracting value from datasets
- Excellent communication skills with the ability to distill complex issues and analyses
- Inquisitive and desire to dig deeper to understand the why behind our data
- Hybrid-hub model with options for remote work
