Senior Data Analyst

Eames Consulting United State
Remote
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AI Summary

Join a venture-backed Insurtech startup as a Senior Data Analyst to help scale the platform. Develop and administer Looker environment, build scalable dbt models, and drive self-service analytics.

Key Highlights
Develop and administer Looker environment
Build and maintain scalable dbt models
Drive self-service analytics through comprehensive documentation and training programs
Partner with stakeholders across engineering, product, and operations
Elevate data literacy across the organization
Technical Skills Required
Looker dbt SQL Python Pandas NumPy SQLAlchemy Postgres
Benefits & Perks
Competitive salary and equity package
Comprehensive health, dental, and vision insurance
401(k) with employer match
Generous PTO and parental leave policies
Fully remote work environment

Job Description


Title/Position: Senior Data Analyst

Location: 100% Remote (US-based)

Reports To: Data Science Manager

Base Salary: $145,000 - $155,000


Come join a venture-backed Insurtech startup utilizing advanced AI and automation to modernize the $300B+ insurance claims industry. We are searching for a Senior Data Analyst to help scale our platform!


About the Role


We’re seeking a highly skilled Senior Data Analyst to join our data team during a pivotal stage of growth. This role is ideal for a BI-focused analyst who thrives in high-impact environments and enjoys building scalable reporting foundations. You'll play a critical part in shaping our data ecosystem, working across engineering, product, and operations to turn raw data into actionable insight.


The ideal candidate is an independent self-starter with deep experience in Looker development, DBT modeling, and advanced SQL. You’ll serve as a bridge between the technical and business sides of the company - enabling stakeholders to make informed, data-driven decisions.


Key Responsibilities


  • Own the development and administration of our Looker environment, with a focus on structure, governance, and performance
  • Build and maintain scalable dbt models and optimize SQL workflows to support advanced reporting use cases
  • Drive self-service analytics through comprehensive documentation and training programs
  • Partner with stakeholders across engineering, product, and operations to design robust data models that reflect real business logic
  • Act as a key technical point of contact across departments, translating complex data needs into practical solutions
  • Elevate data literacy across the organization through strong communication and storytelling
  • Help evolve team culture, standards, and best practices in a fast-paced startup environment


Qualifications


  • 7+ years of Data Analyst professional experience in Data Analytics or Business Intelligence
  • Advanced SQL expertise across modern data platforms (e.g., Snowflake, BigQuery, Postgres)
  • Proficiency in dbt for data transformation and modeling
  • Data Stack: Python (Pandas/Numpy, SQLAlchemy ), Postgres, Looker
  • Demonstrated success optimizing and scaling reporting infrastructure
  • Strong cross-functional communication skills and comfort interfacing with non-technical teams
  • Ability to manage shifting priorities and deliver value in an agile, startup environment
  • Adaptable, creative problem solver with a collaborative mindset


Preferred (but not required)


  • Prior experience in the insurance, insurtech or B2B SaaS industry
  • Exposure to cloud data architectures and modern ELT workflows


What We Offer


  • Competitive salary and equity package
  • Comprehensive health, dental, and vision insurance
  • 401(k) with employer match
  • Generous PTO and parental leave policies
  • Fully remote work environment
  • High-quality hardware and tools to support productivity



We’re committed to building a diverse and inclusive team and encourage individuals from all backgrounds to apply. If you're excited about leveraging data to help modernize a legacy industry and thrive in ambiguity, we’d love to connect!


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