ABOUT THE ROLE:
This is an opportunity to join our nascent Data Analytics team which reports directly to our co-founder and is responsible for making data Regal’s strategic advantage - inclusive of reporting, analytics, and data science. You will partner closely with the Data Engineering team which rolls into our VP of Engineering.You will work with internal and external stakeholders against a compelling data vision and roadmap that delivers on 3 key priorities:1. Empower customers with insights for better decision-making2.
Deliver a unified understanding of Regal’s business performance internally3. Leverage our unique customer data asset into data products that create a moat around the businessOne of the most exciting parts of Regal is the massive dataset we are building. Regal ingests 10s of millions of real-time behavioral data points from customers daily and combines that with rich voice and sms conversation data to drive next best actions. We also track all agent actions in the product, and can use that data to derive insights about new product features or behaviors that can improve the efficiency of agents - so they can spend more time engaging with customers.
If this type of work is interesting and energizing to you, then you're in the right place to be Regal's next Analytics Engineer!
Responsibilities:
Develop new data models from scratch when new products are launched
Partner with product, customer success, and finance teams to build internal Looker dashboards that help us understand customer usage, customer performance, and feature performance
Build out documentation for Regal University which makes it easier for our customers to consume our in-app reporting suite
Develop internal reports and dashboards to conduct deep-dive analyses to inform key product and business decisions
Partner with the data engineering team to improve query performance
Analyze performance of A/B experiments run by customers or the product team
Create and maintain documentation of business metrics and the data model
Inform how key metrics should be calculated and presented in the Regal.io app
Help craft the data team's roadmap & develop ways to improve the data team's processes to increase efficiency, quality or scalability
ABOUT YOU:
2-6+ years of experience in data analytics, analytics engineering or consulting or investment banking
Bachelor's degree in Mathematics, Statistics, Economics or related field
You are impact-driven, understanding that data is only useful if it can drive tangible business impact
Advanced knowledge of SQL
Experience with Looker, DBT, Snowflake is a plus (otherwise experience with equivalent data warehouse and BI tools is required)
Knowledge of Python is a plus
Startup experience
Strong communication skills
Structured thinking/problem-solving skills
