Sales & Revenue Data Analyst

Company: TEAK

Location: Remote (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-03-17

About this role

Company Overview

Teak is building better experiences for people attending live events and booking travel. Our easy-to-embed, full-service solutions enable businesses in live events, sports, endurance racing, bookings, and destinations to increase revenue while offering consumers greater flexibility and confidence at checkout. We have served over 12 million consumers and surpassed $1 billion in experiences enhanced through our platform. Our business is growing quickly and is profitable.

We’re a fully remote, fast-moving, high-impact team that thrives on solving hard problems. Every role here is mission-critical, and every person has the opportunity to shape our company's future.

## Role Overview

As a Sales & Revenue Analyst at Teak, you will be the client-facing analytical engine behind our revenue team, turning complex data into clear, actionable insights that drive growth. You will own reporting and analysis across the full revenue funnel, from pipeline and forecasting to client retention and marketing performance. You’re an incredible data storyteller and understand how to leverage data visualization to enable actionable insights. We're looking for someone who thrives at the intersection of data and commercial strategy.

## Responsibilities

  • Own pipeline reporting and revenue forecasting, partnering closely with sales leadership to track performance against targets and surface risks and opportunities early.
  • Build and maintain pricing and deal-analysis frameworks to evaluate deal structure, margins, and competitiveness across new and existing client opportunities.
  • Develop client-facing and internal reporting that supports retention, expansion, and renewal conversations, giving account teams the data they need to act with confidence.
  • Analyze marketing performance data to evaluate channel effectiveness, lead quality, and contribution to the pipeline, helping optimize spend and prioritization.
  • Collaborate with cross-functional teams to transl...

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