DualEntry
Analytics & Data Engineering (Lead or Head)
$44K–$190K
New York City · On-site · Full-time · Posted Jun 1, 2026
- Experience
- Minimum of 5 years of industry experience as a Data Scientist.
- Education
- Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
About the job
Build and own DualEntry’s data infrastructure and analytics function, delivering actionable insights and measurement across product, engineering, go-to-market, and marketing.
What you'll do
- Establish data processes, tools, KPIs, and analytics models to support scalable decision-making.
- Capture, move, store, and transform raw data into insights, reports, and dashboards.
- Collaborate across teams on product roadmaps, experimentation, and measuring outcomes.
What they ask for
- Bachelor’s degree or above in a quantitative field and at least 5 years of industry experience as a Data Scientist.
- Hands-on experience with modern data stacks and data orchestration platforms.
- Strong Python and SQL skills, including exploratory analysis, predictive modeling, and efficient queries.
- Experience shipping improvements with engineering, product, and GTM organizations.
Nice to have
- Experience with BI tools such as Retool, Looker, Mode, or Tableau.
- Familiarity with B2B enterprise sales metrics and experience at a high-growth startup.
Pay
$135,000 - $190,000 USD base salary; $44,000 - $52,000 USD equity
Tools
Fivetran, Snowflake, dbt, Looker, Hex, Hightouch, Airflow, Dagster
AI focus
Apply machine-learning techniques to marketing-specific problems; the company’s ERP product automates manual data-entry work with AI.
Model-written summary · the original posting is authoritative