Senior Analytics Engineer - Remote Data Modeling & Growth

Apply; Northern (KY); Remote; USD 130,000 - 178,000; Full time

Job summary

Optro is seeking a senior analytics engineer to own the data foundation, models, and governance that drive commercial decisions. You will partner with Sales, Marketing and Finance to shape problems, design robust data models in Snowflake, and deliver insights that power ARR and bookings growth.

You’ll lead the end‑to‑end analytics stack with dbt, Snowflake, and Fivetran, while mentoring analysts and shaping data strategy for a fast‑growing org.

Qualifications

• 8+ years in data or analytics roles, with 3+ in analytics engineering, ideally at a fast‑paced, data‑driven company.
• A leader's instinct for ambiguity — you set your own direction, know what good looks like, and build it from scratch.
• Experience building analytical models for GTM teams, such as account scoring, ICP, propensity, or whitespace analysis.
• Deep, hands‑on expertise in data modeling — from raw source data to models people actually want to build on.
• End‑to‑end ownership of production data models in Snowflake (or a similar enterprise warehouse), including the trade‑off calls between completeness, performance, and speed.
• Expert‑level SQL and solid Python, both second nature for ad‑hoc discovery, data workflows, and automation.
• Fluency with our stack — Fivetran, dbt, and Snowflake — and experience building semantic layers, whether in dbt or Snowflake's semantic tables.
• Experience inheriting, maintaining, and improving data models and ETL/ELT pipelines built by other people, adapting comfortably to different styles and existing constraints.
• Experience applying software engineering practices to analytics: Git, code review, CI/CD, and automated testing.
• Genuine curiosity about the business behind the data — you'll pick up our booking definitions, sales motions, and product portfolio quickly, because the right model starts with the right question.
• The instinct to break big projects into clean, well‑scoped pieces, while juggling conflicting priorities.
• Excellent communication — you can translate a business question into a data model without losing anyone along the way

Responsibilities

• Build and own the data foundation, roadmap, and deliverables for analytics tooling and modeling.
• Build tested, documented dbt models that align with ARR, bookings, and pipeline definitions.
• Create analytical models for upsell, whitespace, ICP fit, and account scoring.
• Develop semantic layers to enable self‑serve analytics for analysts and business users.
• Build AI-powered tools and automations to accelerate the team.
• Set data architecture, QA, and engineering standards (version control, code review, CI/CD, monitoring).
• Govern data with clear ownership, naming, lineage, and change controls; maintain current documentation for core metrics reporting.
• Partner with Sales, Marketing, and Finance to scope problems and deliver impactful solutions.
• Collaborate with hub and spoke analytics teams on data modeling initiatives; own the commercial modeling layer on top.
• Anticipate future analytics needs and invest accordingly; represent the team in technical planning meetings.
• Evaluate and recommend improvements to data tooling and infrastructure; raise analysts' modeling skills.
• Contribute to a culture of data-driven decision making and clear business questions

Skills

SQL

Python

dbt

Snowflake

Data modeling

Analytics engineering

Communication

Stakeholder collaboration

GTM analytics

ETL/ELT pipelines

Tools

Git

CI/CD

Code review

Job description

Optro is seeking a senior analytics engineer to own the data foundation, models, and governance that drive commercial decisions. You will partner with Sales, Marketing and Finance to shape problems, design robust data models in Snowflake, and deliver insights that power ARR and bookings growth.

You’ll lead the end‑to‑end analytics stack with dbt, Snowflake, and Fivetran, while mentoring analysts and shaping data strategy for a fast‑growing org.