Analytics Engineer, Regal.io

• 2-6+ years of experience in data analytics 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

• 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-making
• 2. Deliver a unified understanding of Regal’s business performance internally
• 3. Leverage our unique customer data asset into data products that create a moat around the business
• 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

• 401k plan
• Flexible PTO & 11 paid holidays
• Medical, dental, vision insurance (80% covered by Regal for individuals and all dependents!)
• Paid parental leave
• Growth Mindset learning and development stipend
• Happy hours, team outings, & annual offsites!
• Pre-tax commuter benefits
• Complete laptop workstation
• & more!

Total funding: $82.1m

Remarketing to 'abandoned' customers is challenging with one-way solutions like email campaigns. Conversations are key, especially with the rise of smartphones and mobile commerce. Regal, an outbound call and SMS platform, helps brands engage directly with consumers.