Analytics Engineer / Business Intelligence Analyst

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 · AI

Description For Analytics Engineer / Business Intelligence Analyst

Cover Genius, a Series E insurtech, is seeking a highly skilled Analytics Engineer / BI Analyst 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 involvement in social initiatives through their CG Gives program. Cover Genius is recognized as the #1 fastest-growing company in APAC by the Financial Times and values boldness, authenticity, purposefulness, and inspiration in their team members. This is an excellent opportunity for those passionate about data engineering and analytics in a dynamic, global insurtech environment.

Last updated 3 months ago

Responsibilities For Analytics Engineer / Business Intelligence Analyst

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

Requirements For Analytics Engineer / Business Intelligence Analyst

Python
  • BS in Computer Science, Math or a related STEM field
  • At least 4 years of experience in data modeling for data warehouse schema
  • Strong proficiency in using cloud data warehouse such as BigQuery or Snowflake
  • Advanced SQL, DBT and data modeling skills
  • Experience developing dashboards and reports using BI tools
  • Hands-on knowledge of common technologies like bash, git and docker
  • Excellent communication and collaboration skills
  • Critical thinking and strong problem-solving abilities

Benefits For Analytics Engineer / Business Intelligence Analyst

Equity
  • Flexible Work Environment
  • Employee Stock Options
  • Social Initiatives

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