Analytics Engineer, BizOps

Copia Automation•New York, NY

10d•$150,000 - $175,000•Hybrid

About The Position

BizOps is a high-visibility and high-leverage team at Copia, tasked with taking on many of the organizationâs most important challenges. As Copiaâs founding Analytics Engineer, you will own Copiaâs analytics infrastructure, contribute to the success of transformative projects, and solve novel challenges with AI. You will report directly to the Head of BizOps. Your first priority is to eliminate manual work across our GTM operations by building data pipelines, integrating systems, and automating tasks across our CRM and sales processes. An early project: parsing call and video transcripts to automatically capture essential CRM data, then surfacing insights from that data which directly influence what actions our teammates in sales take next. As you free up operational capacity, you'll increasingly serve as an analytical partner to leadership, turning messy data into clear recommendations on our most important strategic questions. In the medium term (mid-2026), you'll work with other members of the BizOps team to design and build internal AI applications to enhance our most important business processes. You'll need the agility to pivot as priorities evolve, the judgment to know which problems are worth solving, and a passion for your craft.

Requirements

4+ years of commercial experience solving operational problems with data (or 2+ years with a relevant graduate degree)
Strong SQL and Python skills; you're comfortable writing production-quality code, not just notebooks
Track record of influencing key decisions by changing how people think about a problem
Comfort presenting to and pushing back on executive stakeholders
Builder mentality: once you realize a recurring task is worth automating, you feel compelled to build it

Nice To Haves

Experience with our stack: Databricks, dbt, Hex, HubSpot
Experience building and maintaining internal tools or apps (not just analyses) using AI
Experience in B2B SaaS or developer tools
Familiarity with AI-assisted development workflows (e.g., Claude Code, Cursor, Copilot)

Responsibilities

Automate GTM operations: Build and maintain automated data pipelines, CRM integrations, and workflow tools that replace manual sales ops work with scalable, reliable systems.
Build BI infrastructure from the ground up: Design and own our data stack â from ingestion and transformation to dashboards â so that GTM leaders have trustworthy, self-serve access to the metrics that matter.
Advise leadership with rigorous analysis: Partner with stakeholders across the company to translate ambiguous, high-priority business problems into clear, data-driven strategies. Present findings and recommendations to executive leadership.
Design and ship internal AI apps: Build AI-powered internal tools and applications that give the team lasting leverage â moving beyond one-off analyses to products your colleagues use every day.