Analytics Engineer — Remote Product Data Modeling & Analytics

Jobicy; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Pleo card

Lunch allowance

Private healthcare

25 days holiday + 5 days

Flexible work options (hybrid/remote)

Mental health support

Parental leave

Job summary

Pleo is seeking an Analytics Engineer to help build trusted product data foundations within our evolving Analytics Warehouse. You’ll own dbt models, tracking, and data definitions to ensure accurate metrics for product and growth teams.

You will collaborate with Product Managers, Analysts, and Engineers to migrate off legacy tools and establish robust semantic layer standards across the organization. This role supports hybrid and remote work options and offers strong benefits.

Qualifications

• Solid SQL and dbt experience, with a clear comfort owning models end to end.
• Working knowledge of event-based tracking tools like Segment or Amplitude.
• Experience with Git-based development workflows, including opening and reviewing pull requests.
• Clear communication skills to explain data definitions and structures to both technical and non-technical stakeholders.
• Genuine day-to-day use of AI tooling as part of your standard coding and workflow routine.
• Comfort navigating ambiguity and untangling legacy logic to build modern foundations.

Responsibilities

• Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go.
• Own tracking plan implementation and QA directly in Segment and Amplitude in close partnership with Product and Engineering.
• Support experimentation by modelling assignment and outcome data into structured formats that analysts and PMs can query directly.
• Define and document metrics in our semantic layer, ensuring a single authoritative definition so downstream BI tools and AI applications yield consistent answers.
• Apply AI-augmented data modelling practices as a standard part of how you write, review, and migrate code.
• Partner with Product Managers and Analysts to turn one-off questions into durable, reusable data models.
• Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.

Skills

SQL

dbt

Segment

Amplitude

Git

Data modelling

AI tooling

Stakeholder mgmt

Tools

Looker

Hippocampus

BigQuery

Job description

Pleo is seeking an Analytics Engineer to help build trusted product data foundations within our evolving Analytics Warehouse. You’ll own dbt models, tracking, and data definitions to ensure accurate metrics for product and growth teams.

You will collaborate with Product Managers, Analysts, and Engineers to migrate off legacy tools and establish robust semantic layer standards across the organization. This role supports hybrid and remote work options and offers strong benefits.