Senior Analytics Engineer

OhioX

United States

A distancia

USD 180.000 - 240.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Annual Performance Bonus Eligible
Medical, Dental, and Vision

Descripción de la vacante

Bold Penguin is hiring a Senior Analytics Engineer to shape data-driven decisions across a fully remote Insurance tech platform. You will architect analytics, migrate assets from Redshift/Tableau to Snowflake and Sigma/Hex, and build self-service data apps and dashboards for business users.

You will lead semantic modeling, write Python scripts for automation, and extend analytics with AI/LLMs like Claude to enhance insurance use cases.

Formación

  • 5+ years of experience in analytics engineering or a similar technical role.
  • Expert-level SQL skills with deep understanding of data warehouse concepts.
  • Hands-on experience with dbt for data transformation and modeling.
  • Proficiency building data applications, dashboards, and reports in Sigma and/or Hex.
  • Proven experience migrating from legacy data warehouses (Redshift) or BI tools (Tableau) to a modern analytics stack.
  • Experience with Snowflake as a cloud data warehouse (required). Familiarity with Redshift is a plus.
  • Proven experience building/maintaining a semantic layer to serve multiple applications.
  • Python for analytics automation, predictive modeling, and reporting.

Responsabilidades

  • Design, build, and maintain data models using dbt core.
  • Lead and execute migration of data assets from Redshift and Tableau to Snowflake, Sigma, and Hex.
  • Build interactive data applications, dashboards, and reports in Sigma and Hex for self-service analytics.
  • Design, build, and govern a centralized semantic layer to standardize metrics.
  • Develop and maintain Python scripts for analytics automation and reporting.
  • Implement data quality testing frameworks to ensure reliable data.
  • Integrate AI/LLMs (including Claude) into analytics workflows for automation and AI-enabled insights.
  • Create and manage JIRA epics, stories, and tasks to track work.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Conocimientos

SQL
Data Warehousing
Python
AI/LLMs
Data Modeling
Data Visualization
JIRA
Communication
Attention to detail

Educación

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Herramientas

dbt Core
Snowflake
Sigma
Hex
Claude
Python
Git
CI/CD
AWS Redshift

Descripción del empleo

  • Other Compensation Annual Performance Bonus Eligible
  • Relocation Expense Covered No
  • Employee Type FT Exempt
YOUR ROLE

We're seeking a Senior Analytics Engineer to help shape the future of data-driven decision making at our rapidly growing, insurance technology company. As a key member of our data team, you'll architect and implement analytics solutions that power both strategic insights and operational workflows. You'll work at the intersection of our modern data stack and business operations — building robust data models, designing self-service data applications, and leading the migration from our legacy Redshift and Tableau environment to our modern stack.

This role offers a unique opportunity to work with cutting-edge tools (dbt, Snowflake, Sigma, Hex, Claude) while having significant influence on our data strategy and technical architecture. You'll collaborate closely with business teams to transform complex data into actionable insights, self-service analytics, and AI-powered applications.

What You'll Do
  • Design, build, and maintain data models using dbt core, ensuring efficient, scalable, and well-documented analytics solutions
  • Lead and execute the migration of data assets from Redshift and Tableau to our modern stack — Snowflake, Sigma, and Hex — ensuring data quality and business continuity throughout
  • Build interactive data applications, dashboards, and reports in Sigma and Hex that enable self-service analytics for business stakeholders
  • Design, build, and govern our centralized semantic layer to standardize business metrics and enable true self-service analytics across Sigma and Hex
  • Develop and maintain Python scripts for analytics automation, predictive models, and operational reporting
  • Implement and maintain data quality testing frameworks to ensure reliable, trustworthy data
  • Integrate AI and LLM capabilities (including Claude) into analytics workflows to automate data enrichment, text analysis, and predictive modeling for insurance use cases
  • Create and manage JIRA epics, stories, and tasks to track development work
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Additional duties and responsibilities as assigned.
Requirements
YOUR LOCATION

This is a fully remote role, with the exception of onboarding and optional in-office events.

Skills & Experience
  • 5+ years of experience in analytics engineering or a similar technical role
  • Expert-level SQL skills with deep understanding of data warehouse concepts
  • Hands‑on experience with dbt for data transformation and modeling — dbt core experience preferred
  • Proficiency building data applications, dashboards, and reports in Sigma and/or Hex
  • Proven experience leading or executing a migration from a legacy data warehouse (Redshift) or BI tool (Tableau) to a modern analytics stack
  • Expert-level experience with Snowflake as a cloud data warehouse (required); familiarity with AWS Redshift a plus for migration context
  • Proven experience building and maintaining a semantic layer / metrics catalog to serve multiple downstream applications
  • Working knowledge of Python for analytics automation, predictive modeling, and reporting
  • Experience with version control systems (Git) and CI/CD practices
  • Practical experience leveraging AI/LLMs within a data stack to solve business problems — including prompt engineering, AI-assisted analytics, or GenAI tools in Hex, Sigma or Snowflake
  • Experience with data lakehouse technologies, including Apache Iceberg and AWS Glue (a plus)
  • Experience in commercial insurance, financial services, or venture-backed technology companies
  • Track record of building data solutions in B2B SaaS or enterprise software companies
  • Experience using JIRA for project management and tracking
  • Excellent communication skills with high attention to detail
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
  • Self-starter who thrives in a fast-paced environment, capable of juggling multiple initiatives and meeting strict deadlines
    • Must be able to sit/stand/walk for prolonged periods of time (up to 8 hours per day), at a desk working on a computer.
    • Must be able to use standard office equipment for extended periods of time, including but not limited to, a mouse, keyboard, phone and video conferencing.
Summary

Bold Penguin is the premier digital broker for commercial insurance. Their technology expands top-of-funnel demand and increases yield for enterprise partners. Through digital distribution, wholesale capabilities, and AI-driven insights, they transform the lifecycle of both simple and complex risks, from prospecting to placement.

We offer competitive compensation and progressive benefits that include:

  • Medical, Dental, and Vision
  • Flexible PTO Policy
  • 401(k) with a company match
  • Employee Assistance Program
  • Disability and Life Benefits
Stay connected to the Glacier. We have great SLACK channels for work and play. We also like to video conference and hold all-hands "Waddles" regularly.

Penguin bling.Like swag themed after a certain Antarctic bird? Just. You. Wait.

Bold Penguin believes in inclusion. That’s why we’re proud to be an equal opportunity employer that considers all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. To learn more about our results-focused culture and employee-focused perks, read more on our careers page .

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