Analytics Engineer
Build dashboards, define metrics, and partner with AI/product teams to drive data-informed decisions on customer interactions and agent performance. Requires 3+ years experience, strong SQL/dbt skills, and warehouse experience.
About the job
Responsibilities
- Conduct deep dive analysis and develop internal reports and dashboards to inform key product and business decisions
- Partner with Forward Deployed Engineers and AI Product Specialists to provide data-driven insights that inform how AI agents are built, tuned, and evaluated for individual customers
- Inform how key metrics should be calculated and presented in the Regal app
- Use AI coding agents to accelerate analysis and data discovery
- Create and maintain documentation of business metrics and the data model
Requirements
- 3+ years experience as an analytics engineer, data analyst or management consultant
- Fluent writing SQL and using dbt
- Experience with any modern warehouse; ClickHouse/Snowflake are preferred
- Comfortable working with Looker or a comparable dashboarding tool
- Passionate about data access and empowering others to make decisions with data
- Excited to work alongside AI tools - not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses
- Enthusiastic about the fast-paced work environment of an early-stage startup
- Excellent communication skills and ability to tell a story with data
Benefits
- Medical, Dental, and Vision plans - 80% covered by the company
- Flexible PTO & 11 paid holidays/year
- 401k Plan
- Paid parental leave
- Pre-tax commuter benefits
- In-office breakfast and snacks daily
- Happy hours, team outings, & annual off-sites
- Complete laptop workstation
Skills
SQL, dbt, ClickHouse, Snowflake, Looker, Data Modeling, Dashboarding, Data Analysis
Similar jobs
Data Analytics jobs
Current
New York, NY
Analyzes marketing spend, channel performance, attribution, and customer growth through reporting, experimentation, data modeling, and predictive analytics. Requires 3+ years of data analysis experience, marketing expertise, SQL, BI tools, Python, and a quantitative bachelor’s degree.
PointClickCare
United States
Leads qualitative and quantitative market research to generate customer and market insights that guide product, growth, and business strategy. Requires five years of healthcare market research experience, advanced analytical and presentation skills, and proficiency with Excel, PowerPoint, Power BI, and AI solutions.
Upstart
United States
Analyzes loan-level quality, portfolio asset quality, and production model performance for unsecured lending. The role requires at least three years of experience in financial services or a related analytical risk function, plus proficiency with structured-data analysis and governance documentation.
PrizePicks
United States
Build and monitor pre-game and in-game sports player projections, manage risk through quantitative analysis, and support game-operations processes across leagues. The role requires strong DFS and sports-gaming knowledge, attention to detail, timely decision-making, and night/weekend availability.
PrizePicks
United States
The BI Analyst will analyze game operations, product, pricing, and user-performance data, translating findings into recommendations, dashboards, and reusable analyses. The role requires advanced SQL, visualization, and Excel skills plus experience in analytics, gaming, finance, or related domains.