Analytics & Data Engineering (Lead or Head)

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

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

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