Analytics Technical Lead

qventus

United States

Hybrid

USD 150,000 - 210,000

Full time

14 days+

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Job summary

qventus is seeking a senior analytics leader to own the analytics function as a first-class product within a healthcare-focused technology organization. The role blends leadership, program ownership, and hands-on work, with a clear direction toward self-service and agentic analytics.

You will deliver high-quality analytics products across multiple solutions, drive velocity by establishing standards, and partner with data engineering, BI, and product teams.

Qualifications

  • Program ownership of analytics across multiple workstreams.
  • Hands-on depth in SQL, dbt, modern data warehouses, and BI tooling.
  • Systems-builder instinct to create repeatable processes and enforce standards.
  • Cross-functional influence across platform, engineering, and architecture partners.
  • Comfort operating in ambiguity and at scale.

Responsibilities

  • Own delivery of analytics products across multiple solutions with focus on stability and maintainability.
  • Increase build-and-ship velocity by evolving analytics standards and team structures.
  • Manage solution analytics leads and unblock team through scoped work across solutions.
  • Partner with platform and semantic architecture to shape BI platform and semantic layer.
  • Stay hands-on as needed to unblock the team and uphold craft standards.

Skills

SQL
dbt
BI tooling
Data warehousing
Cross-functional
Leadership

Tools

dbt
Sigma

Job description

Lead the analytics function as a senior or staff-level program lead within a healthcare-focused technology organization. The role owns the analytics product program end-to-end, treating analytics as a first-class product rather than a downstream output. It is a hybrid position that blends people leadership, program ownership, and hands-on individual work, with a clear direction toward self-service and agentic analytics.

Responsibilities
  • Own delivery of coherent, high-quality, on-time analytics products across multiple solutions, holding the bar for stability, maintainability, and ease of iteration.
  • Increase build-and-ship velocity by enforcing and evolving analytics standards, team structures, and AI-assisted ways of working in partnership with data engineering, BI engineering, and product teams.
  • Manage solution analytics leads, run day-to-day operations, scope and sequence work across solutions, and keep people unblocked.
  • Partner with platform and semantic architecture owners to shape the BI platform and semantic layer that supports both embedded analytics products and the move toward self-service and agentic analytics.
  • Stay hands-on as an individual contributor in a domain when the hardest problems require it, to unblock the team and stay aligned with the craft being set as the standard.
Requirements
  • Demonstrated program ownership of a technical function, with experience scoping, sequencing, and shipping analytics or data work across multiple parallel workstreams.
  • Strong analytical rigor plus hands-on depth in SQL, dbt, modern data warehouses, and BI tooling, enough to do the work yourself and set the standard.
  • A systems-builder instinct: turning what works into repeatable processes, standards, and enforcement that run without you.
  • Track record of cross-functional influence across teams you do not directly control, with durable working relationships across platform, engineering, and architecture partners.
  • Comfort operating in ambiguity and at scale, re-establishing a proven way of working across a broader organization.
Nice to have
  • Healthcare domain expertise, including familiarity with operational data, clinical workflows, hospital operations, or healthcare measurement challenges.
  • Experience scaling an analytics function at a growing company.
  • Familiarity with data or metric governance and semantic-layer concepts where consistency across teams and customer implementations is critical.
  • Experience with dbt, Sigma, and knowledge management for documenting metric definitions.
  • Exposure to AI-enabled, natural-language, or agentic analytics workflows.
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