As our **Lead Analytics & Data Engineer** you'll drive both data infrastructure and data insights across product, engineering, GTM and marketing from the ground up. This is an intense, hands-on data engineering role with full ownership across all DualEntry teams. We expect you to push for excellence and raise the bar. This is an intense, hands-on Engineer role with full ownership. We expect you to push for excellence and raise the bar. **Location:** New York City HQ, 7 World Trade Center **Where you'll create impact** - You have maximum drive to stand up a Data & Analytics function from the ground up. You'll work with different leaders and pods to create the right KPIs and insights across the entire team. - Full stack analytics engineering development, building models to consume, transform, and expose data internally and externally - Work with closely with different teams to capture, move, store, and transform raw data into highly actionable insights - Collaborate with product, engineering, data and design teams to develop prioritized product roadmaps and measure success - Follow through to turn those insights into action - Set up data processes, tools, and systems that will allow us to make better decisions in a scalable way - Drive a culture of experimental design, testing agenda and best practices with maximum pace, ownership and follow-through **What sets you up for success** - Hardcore work ethic and high agency - Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist - Hands-on experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hex / Hightouch or equivalents) - Hands-on experience with data orchestration platforms (Airflow, Dagster, Prefect) - Hands-on experience with BI tools (preferably Retool, Looker, Mode, Tableau or equivalent) and experience distributing data insights via reports and dashboards - Strong python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to marketing-specific problems - Strong knowledge of SQL (preferably Snowflake, BigQuery, or Redshift) and how to write efficient SQL queries - Proven track record of shipping improvements with engineering, product and GTM organizations - Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development) - Familiarity with B2B enterprise sales cycle metrics and processes - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Experience at a high-growth startup **Why you'll thrive here** - Significant **equity ownership** in one of the top AI companies in the world - You're **joining early** and will grow with DualEntry - Your feedback shapes the product directly - **High-speed** culture - High-trust environment with **high expectations** - **Ambitious** mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years **Compensation & Benefits** - **Equity: **$44,000 - $52,000 - **Base Salary:** $135,000 - $190,000 - 15 PTO days + 12 public holidays - Full medical, dental & vision insurance - Commuter benefits - 401k benefits - On-site team culture - high collaboration, no bureaucracy We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. **It's hard, it's intense, and it's the most rewarding work you'll ever do.** If you're hungry, driven, and ready to build something massive, climb aboard!