Data Analyst

Summary

Join HubSpot's Revenue Operations team as a Data Analyst and contribute to data-driven decision-making. These roles, available at various seniority levels, involve leveraging data insights to enhance operational efficiency and strategic outcomes across different focus areas. You will partner with leadership, drive business strategy, and lead high-impact projects. The positions offer significant exposure to HubSpot's C-suite and growth opportunities. Successful candidates will possess strong analytical skills, excellent communication abilities, and proficiency in various tools and technologies. HubSpot values flexibility and offers a supportive work environment.

Requirements

• A minimum number of years experience in a sales strategy role or equivalent level position: Analyst - Min. 2 Years; Senior Analyst - 4+ Years
• Demonstrated expertise in analytical or modeling techniques using tools like Looker, Hex, or Google Suite
• Strong aptitude for defining key metrics and conducting analyses to derive actionable insights
• Exceptional communication and collaboration skills, with a proven track record of presenting to revenue-driven executives
• Strong capability to identify personal and professional growth opportunities and willingness to expand beyond baseline responsibilities
• Proficiency with MS Office Suite, Google Apps, Salesforce.com, and HubSpot CRM
• Proven SQL knowledge and experience
• Ability to thrive in a fast-paced, autonomous working environment

Responsibilities

• Be the go-to expert for the business, playing a pivotal role in driving data-driven decision-making
• Participate in and develop the analyst community, fostering a high-performing, insights-driven culture
• Be hands-on, delivering critical insights that shape strategic decisions and ensure data is at the core of our operations
• Partner with leadership to drive business strategy, planning, goal-setting, and performance tracking
• Scope and lead high-impact projects and execute on mission-critical strategic initiatives

Preferred Qualifications

Python or R

Benefits

• Remote work, flexible hours
• Professional development opportunities