Growth Engineer

The operating system for inbound B2B revenue
$90,000 - $140,000
Data
Entry-Level Software Engineer
In-Person
11 - 50 Employees
Enterprise SaaS · Analytics

Description For Growth Engineer

HockeyStack is one of the fastest growing revenue tech companies, having tripled their revenue in the first half of the year. They are seeking a growth engineer or data analyst to collaborate with their marketing and sales departments. The role involves experimenting with new initiatives, automating manual tasks, and optimizing their go-to-market strategy.

The ideal candidate should possess strong skills in SQL, data analysis, and experimentation. The position is open to new graduates, and internships are available for those who can commit to 10+ hours per week. The role requires working from their San Francisco office five days a week.

HockeyStack is an analytics and attribution tool for B2B SaaS that collects and analyzes data across the entire SaaS customer journey - from marketing and sales to product engagement. Their mission is to streamline the process of tracking and deriving insights from this comprehensive data set.

As a Growth Engineer, you'll be at the intersection of data and business strategy, helping HockeyStack maintain its impressive growth trajectory. You'll work directly with key stakeholders to implement data-driven solutions that enhance the company's market presence and operational efficiency.

Join a dynamic team in a fast-paced environment where your analytical skills will directly impact the company's growth and success. This role offers an excellent opportunity to gain hands-on experience in the B2B SaaS analytics space while working with cutting-edge technology and data systems.

Last updated 36 minutes ago

Responsibilities For Growth Engineer

  • Work with marketing and sales departments
  • Experiment with new initiatives
  • Automate manual tasks
  • Optimize go-to-market efficiency
  • Analyze data and derive insights

Requirements For Growth Engineer

  • Strong SQL skills
  • Data analysis experience
  • Experimentation knowledge
  • Ability to work in SF office 5 days a week

Interested in this job?

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