Analytics Engineer / Business Intelligence Analysis

Cover Genius is a Series E insurtech that protects the global customers of the world's largest digital companies including Booking Holdings, Intuit, Uber, Hopper, Ryanair, and more.
Data
Mid-Level Software Engineer
Hybrid
4+ years of experience
Finance · Enterprise SaaS

Description For Analytics Engineer / Business Intelligence Analysis

Cover Genius, a Series E insurtech, is seeking a highly skilled Analytics Engineer / BI to join their Data Engineering Team. This role is critical in ensuring the accuracy, efficiency, and performance of the data warehouse, while also developing and managing key performance metrics to drive business success. The ideal candidate will have strong proficiency in cloud data warehouses, advanced SQL and data modeling skills, and experience with BI tools. Key responsibilities include curating datasets, implementing data engineering best practices, troubleshooting issues, defining KPIs, and automating processes. The company offers a flexible work environment, employee stock options, and social initiatives through their CG Gives program. Cover Genius has been recognized as the #1 fastest-growing company in APAC by the Financial Times in 2020 and protects customers of major digital companies worldwide. They value boldness, authenticity, purpose, and inspiration in their team members.

Last updated 2 months ago

Responsibilities For Analytics Engineer / Business Intelligence Analysis

  • Curate, document, test and monitor datasets
  • Adhere to data engineering best practices
  • Troubleshoot and resolve issues with data pipelines, databases, and data warehouse
  • Work with stakeholders to define and track KPIs
  • Analyze and interpret data to identify trends, patterns, and insights
  • Automate manual processes to improve efficiency and reduce errors
  • Participate in on-call rotations
  • Stay up-to-date with the latest developments in data engineering and analytics

Requirements For Analytics Engineer / Business Intelligence Analysis

Python
  • Strong proficiency in using cloud data warehouse such as BigQuery or Snowflake
  • Familiar with data warehouse architecture, best practices and performance optimization
  • At least 4 years of experience in data modeling for data warehouse schema
  • Advanced SQL, DBT and data modeling skills
  • Experience developing dashboards and reports using BI tools
  • Hands-on knowledge of common technologies used in software engineering
  • BS in Computer Science, Math or a related STEM field
  • Excellent communication and collaboration skills
  • Critical thinker and strong problem solver

Benefits For Analytics Engineer / Business Intelligence Analysis

Equity
  • Flexible Work Environment
  • Employee Stock Options
  • Social Initiatives through CG Gives program

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