Senior Analytics Engineer: AI-Driven Data Backbone

Lighthouse (Media and Information Services)

Denver (CO)

Hybrid

USD 120,000 - 180,000

Full time

10 days ago

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Benefits offered by this job

Health insurance
401k matching
Flexible work environment
Vision and Dental Insurance
Parental leave

Job summary

Lighthouse is seeking a senior analytics engineer who can design robust data models across our commercial and financial domains—modeling deals, accounts, regions, products, and expansion opportunities to give go-to-market teams a single trustworthy view.

You will own delivery end-to-end from requirements through implementation and documentation, collaborating closely with sales operations, commercial systems, finance, and analytics stakeholders.

Qualifications

  • Senior experience in analytics engineering, data warehousing, or a closely related role.
  • Strong SQL skills with hands-on data modeling.
  • Practical experience with dbt or similar data transformation tools.
  • Ability to gather requirements and translate into technical solutions.
  • Ability to communicate with both technical and non-technical leaders.
  • Basic Python scripting or ability to review AI-assisted scripts.
  • Understanding of agentic frameworks, retrieval-augmented generation, or conversational analytics.
  • You can support colleagues across teams without formal management.

Responsibilities

  • Design and build trusted data models across Lighthouse's commercial and financial domains.
  • Own delivery end-to-end from requirements through implementation and documentation.
  • Collaborate with sales operations, commercial systems, finance, and analytics.
  • Support revenue, retention, and churn analysis.
  • Apply responsible AI in coding, solution design, and problem solving.
  • Build reliable data foundations for advanced analytics and AI-enabled products.

Skills

SQL
dbt
Python
Data modeling
Data warehousing
Stakeholder communication

Tools

dbt

Job description

Lighthouse is seeking a senior analytics engineer who can design robust data models across our commercial and financial domains—modeling deals, accounts, regions, products, and expansion opportunities to give go-to-market teams a single trustworthy view.

You will own delivery end-to-end from requirements through implementation and documentation, collaborating closely with sales operations, commercial systems, finance, and analytics stakeholders.

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