Overview
Lead Data Analyst on HubSpot's Global Incentive Compensation team, developing incentives strategy, managing variable compensation and reporting on incentive performance for Customer Success.
What you'll do
- Support internal executives, global Customer Success teams and Customer Success Strategy & Operations with detailed visibility into Customer Success incentives.
- Leverage BI tools like Looker to analyze data, extract meaningful insights and drive decision-making.
- Deliver timely, accurate reports on promotions, performance plans, variable programs, SPIF programs and regular compensation.
- Track key incentive KPIs and understand the performance levers that drive optimal behaviors and align with business objectives.
- Support ongoing planning and execution of incentives for the Customer Success team.
- Work closely with HR, Finance and Customer Success leadership to ensure alignment and the successful execution of incentive programs.
What you'll need
- A Customer-First mindset and passion for supporting customer-facing teams.
- 6+ years of experience in strategy and operations, preferably in Incentive Compensation, Customer Success, Sales Operations, or Financial Planning & Analysis (FP&A).
- Proficiency in BI tools (e.g. Looker, PowerBI, Tableau), with the analytical ability to perform in-depth data analysis and provide actionable insights.
- Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable recommendations.
- Proficiency in SQL and experience working with data warehousing platforms such as Snowflake or similar.
- Experience with MS Office Suite, Google Apps, Salesforce.com, HubSpot CRM with expert level proficiency in Excel and/or G-sheets.
- Ability to clean and link complicated data sets from various sources.
- Adaptability to the evolving needs of a high-growth, fast-pace SaaS business.
- B.A. or B.S. degree.
Details
- Remote - USA.
- Annual cash compensation range: $129,200 to $206,700 USD.
- Some roles may be eligible for RSUs and overtime pay.
Read the full description and apply on the company’s own careers page.