Senior Data Analyst with Property & Casualty insurance experience - Remote

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum of 8 years experience in data analytics, data modeling, or business intelligence., Strong knowledge of Property & Casualty insurance industry., Proficiency in Snowflake, including SQL and schema design., Experience with data visualization tools like Power BI or Tableau, and familiarity with scripting languages such as Python..

Key responsibilities:

  • Analyze and interpret insurance data to generate insights.
  • Design and optimize data schemas and ETL processes in Snowflake.
  • Create dashboards and reports using visualization tools.
  • Collaborate with stakeholders to support data-driven decision making.

Job description

Requirements:
  1. 8+ years of experience in data analytics, data modelling, or business intelligence roles.
  2. Strong understanding of the Property & Casualty insurance business lines.
  3. Proficient in Snowflake – including SQL, schema design, and performance optimization.
  4. Strong analytical skills with ability to interpret data and translate findings into actionable insights.
  5. Proficiency in data visualization tools (e.g., Power BI, Tableau) and familiarity with Python or other scripting languages
  6. Experience with data management, data warehousing, and ETL processes.
  7. Excellent communication and stakeholder management skills.
  8. Experience working with data from Agency Management Systems such as Vertafore AMS360 or Applied EPIC. Is a plus
  9. Exposure to cloud platforms such as Azure and modern data stack tools

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Analytical Skills

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