Data is at the center of everything we do — and we’re ready to take it to the next level.
We’re hiring a Senior Data Analytics Engineer for one of America’s fastest-growing InsurTech companies that is pre-IPO. This is a high-impact role – you’ll design analytics solutions and help the teams across the company make faster and smarter decisions.
If you are a team player who enjoys ownership, technical depth and constant improvement- this is the role for you.
Main Responsibilities:
Design and shape the data infrastructure.
Improve the existing data models and performance.
Partner with cross-functional teams to understand data needs and develop reliable solutions.
Translate customer data into insights that shape the product development.
Forecast and solve high-impact analytics problems.
Key Requirements:
A few years of commercial experience in a similar role.
Proficiency in dbt, SQL, building and maintaining data pipelines.
Strong understanding of data warehousing and ETL concepts.
Has worked previously directly with various business stakeholders.
Scripting experience with any of the following languages: Python, Rust, Ruby, C++.
Relevant Bachelor University Degree is plus.
Experience with Amazon Redshift.
Curiosity, solid work ethic.
Fluency in English.
Benefits:
Competitive salary.
25 days annual leave.
Hybrid office with a friendly office culture and social events which gives you a great work-life balance.
A long-term opportunity to grow your career in the team standing behind the biggest insurance platform and the first virtual insurance agent in the USA.
Dedicated budget for courses and learning.
Office kitchen with snacks and fun area.
Employee stock options.
Apply Now by sending your CV in English with contact details in it 😉
Only shortlisted candidates will be invited to an interview.
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