Analytics Engineer

October 9

Apply Now

Receive Emails with Similar Jobs

Tint

WebsiteLinkedInAll Job Openings

machine learning • risk management • external data • sharing economy • insurtech

11 - 50

Description

• Design and implement robust, scalable data pipelines to ensure the efficient flow and accessibility of data across teams. • Design, develop and optimize data models to support business analytics, reporting, and decision-making. • Partner with data scientists, analysts, product managers and engineers to ensure alignment between business goals and data initiatives. • Create and maintain documentation for the data infrastructure, models, and processes. • Work on improving data quality, accessibility, automation and observability within the data ecosystem. • Lead initiatives to integrate new data sources and optimize existing ones. • Mentor and guide junior team members on best practices for data engineering and analytics.

Requirements

• 5+ years of experience in analytics engineering, data engineering, business analytics, actuarial science or a similar role. • Strong proficiency with SQL and experience in building and optimizing data models for business reporting. • Hands-on experience with ETL processes and data pipeline orchestration tools (e.g., Airflow, Windmill, dbt). • Expertise with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). • Proficiency in one or more programming languages such as Python or R is a big plus. • Knowledge of BI tools (e.g., Omni, Tableau, Looker) and how they interact with underlying data models. • Strong analytical mindset with a passion for solving complex data problems. • Excellent written and verbal English language communication skills and experience working with cross-functional teams. • Ability to work in a fast-paced, collaborative environment.

Benefits

• Flexible Working. • Flexible Time Off. • Competitive Compensation. • Comprehensive Healthcare. • Company Retreats to Exciting Locations.