DualEntry
Fintech
Analytics&DataEngineering(LeadorHead)
Neural analysis suggests this role is
optimal for Lead candidates.
“Analytics & Data Engineering (Lead or Head) at DualEntry. Skills: Data engineering, Data analytics, Machine learning. Stand up Data & Analytics function. Create KPIs and insights”
Industry & Context.
Solving problems
What They're Looking For.
Must Have
Minimum 5 years industry experience, Bachelor's degree in Math, Bachelor's degree in Economics, Bachelor's degree in Bioinformatics, Bachelor's degree in Statistics, Bachelor's degree in Engineering, Bachelor's degree in Computer Science, Hands-on experience with modern data stack, Hands-on experience with data orchestration platforms, Hands-on experience with BI tools, Python experience, Knowledge of SQL, Proven track record of shipping improvements, Perspective on data science engineering development cycle, Familiarity with B2B enterprise sales cycle metrics, Ability to thrive in fast-paced startup environment
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified
What You'll Do.
Stand up Data & Analytics function
Create KPIs and insights
Build models to consume data
Build models to transform data
Build models to expose data
Develop prioritized product roadmaps
Turn insights into action
Set up data processes
Drive experimental design
How You'll Work.
Team & Collaboration
Work with leaders; Work with pods; Work with product teams; Work with engineering teams; Work with data teams; Work with design teams
Communication Scope
Distributing data insights
Process & Methodology
Roadmap planning
Full Job Description
ABOUT DUALENTRY Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups. At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years. Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past. We operate with urgency and ownership. We move fast. WHY THIS ROLE MATTERS NOW Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade. We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves. We’re a small team, growing fast with huge momentum - join early. 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
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