Data Engineer I

Coalition, Inc. • Toronto, Ontario, Canada • 1w ago

Responsibilities

Own and maintain robust data models that serve all verticals and areas of Coalition’s business
Set the standard for fidelity and metrics consistency across all data models, ensuring all team members have access to the latest and most accurate data, via query or our business intelligence platform
Collaborate with Product, Analytics, Engineering, and Business team members to help report on KPIs, OKR performance monitoring, and metrics anomalies
Improve our analytics data stack’s efficiency and deliver timely data even as the business scales
Make new data sources available and query-able via a ETL pipeline or other data processing jobs

Skills and Qualifications

A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
1-2 years of experience in related analytical, data science or consulting background
SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Points

Work in Tableau, Looker, or similar visualization / business intelligence platform
Experience with dbt, Airflow, dagster, Prefect, or similar analytics engineering tools
Experience with Python, R, or similar programming language
Understanding of and experience with experimental design, statistical methods and machine learning
Experience in insurance, insurtech and fintech industries
Experience using data science tools like scikit-learn, pandas, numpy, XGBoost, TensorFlow
Exposure to causal inference and other advanced statistical methods

Perks

100% medical, dental, and vision coverage
Flexible PTO
Annual home office stipend and WeWork access
Mental & physical health wellness programs like Headspace, Lumino, and more!
Competitive compensation and opportunity for advancement

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