Sales Operations Analyst: Automate, Analyze & Accelerate Revenue

Tech Sales Jobs

United States

Remote

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Ample time off
Volunteer days
Food and beverages
Ergonomic workstations
ShipIt days
Company-paid travel after five years
Employer-paid insurance (medical, dent
Vision coverage
401k matching

Job summary

Welcome to Atlassian's Sales Operations team. We are a lean group of operational experts dedicated to solving complex business problems and accelerating Atlassian's top-line growth.

Our mission is to support partners across the go-to-market function and contribute to the Revenue Operations family. The team collaborates across multiple GTM functions to optimize processes, leverage data-driven decision making, and enable efficient cross-functional initiatives.

Qualifications

  • Minimum 1-2 years of increasing responsibility in Sales Operations, Strategy, BizOps, or Analytics within a B2B (ideally SaaS) company or in a strategy consulting environment.

Responsibilities

  • Serve as the first responder on centralized tickets and strive to resolve within SLAs.
  • Identify operational bottlenecks and design scalable solutions and automations to boost productivity across supporting groups.
  • Deliver operational analytics and reporting to monitor SLA compliance, ticket trends, and process health.
  • Translate data trends into actionable insights to drive continuous improvements and better team alignment.
  • Support broader Shared Services initiatives, including ticket management, cross-functional GTM projects, and new processes.

Skills

Sales Ops
Data analysis

Job description

Welcome to Atlassian's Sales Operations team. We are a lean group of operational experts dedicated to solving complex business problems and accelerating Atlassian's top-line growth.

Our mission is to support partners across the go-to-market function and contribute to the Revenue Operations family. The team collaborates across multiple GTM functions to optimize processes, leverage data-driven decision making, and enable efficient cross-functional initiatives.

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