DualEntry · 4 days ago
Lead Data & Analytics Engineer
NYC Metro Area
Full-time
Onsite
Senior Level, Lead/Staff
$150K/yr - $220K/yr
5+ years expDualEntry is one of the world’s fastest-growing AI startups focused on revolutionizing the finance industry with their AI-native ERP solutions. As the Lead Data & Analytics Engineer, you will drive the development of data infrastructure and insights across various teams, ensuring the creation of actionable insights and efficient data processes.
AccountingArtificial Intelligence (AI)Enterprise Resource Planning (ERP)
Responsibilities
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
Qualification
Required
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
Benefits
15 PTO days + 12 public holidays
Full medical, dental & vision insurance
Commuter benefits
401k benefits
On-site team culture - high collaboration, no bureaucracy
We'll cover relocation packages and make the move exciting, not painful!
Company
DualEntry
DualEntry develops an AI-based accounting software for handling transactions for mid-market enterprises.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$100MKey Investors
Contrary
2025-10-02Series A· $90M
2024-05-01Seed· $10M
Recent News
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