Hi, I'm Thijs Essens - Senior Manager, Analytics Engineering at Upstart
I'm driven by building and scaling analytics engineering teams that transform complex data into clear, actionable insights. I thrive in dynamic environments architecting robust data solutions that empower strategic business growth and product innovation.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Led the Analytics Engineering function at Upstart, growing the team from 3 to over 15 engineers.
Architects foundational data models and domains to drive product development and business decisions at scale.
Can help translate complex data into actionable insights and scale high-performing analytics engineering teams.
🚀 Career trajectory
Foundational Experience
Began career with a corporate finance internship, gaining early exposure to business analysis and M&A.
✦ Corporate Finance
✦ M&A
✦ Financial Analysis
Data Engineering Specialization
Transitioned into Data Engineering, building expertise in data warehousing, ETL, and data pipelines.
✦ Data Engineering
✦ ETL
✦ Data Warehousing
Analytics Engineering Leadership
Currently leads and scales Analytics Engineering teams, focusing on strategic data modeling and BI solutions.
✦ Analytics Engineering
✦ People Management
✦ Big Data
💪🏻 Superpowers
Data Architecture & Strategy
Designing scalable data foundations for growth
✦ Drives technical roadmaps for foundational data models.
✦ Establishes data domains to power business at scale.
✦ Ensures data quality and governance for reliable insights.
Team Leadership & Scaling
Building and managing high-performing analytics teams
✦ Grew Analytics Engineering team from 3 to 15+ engineers.
✦ Focuses on hiring, mentoring, and developing talent.
✦ Fosters a collaborative and results-oriented team culture.
Data-Driven Decision Making
Transforming data into actionable product launch insights
✦ Turns billions of data points into valuable metrics.
✦ Enables informed product launch decisions through analytics.
✦ Expert in Business Intelligence and Data Analytics tools.
I'm excited about
✦ Connecting with leaders in data science and engineering to share best practices.
✦ Exploring innovative data technologies and their applications.
✦ Discovering new opportunities to leverage data for strategic business growth.
I can help with
✦ Architecting robust data pipelines and warehousing solutions.
✦ Building and scaling high-performing analytics engineering teams.
✦ Translating complex data into actionable business insights.
I would love your help on
✦ Gaining insights into cutting-edge AI/ML applications in finance.
✦ Connecting with experts in data governance for large-scale enterprises.
✦ Identifying leaders in product analytics for potential collaboration.