Responsibilities
- Function as analytics partner for a marketing team, building and scaling marketing reporting capabilities. These include sizing opportunities, establishing consistent tracking, KPIs, and dashboards, plus developing insights into campaign impact on milestones across the customer journey
- Automate operating review deliverables to drive source of truth consistency and reduce cycle time
- Enable key stakeholders on insights produced and provide data-driven recommendations to improve marketing efficiency, insights and impact
- Continue evolving our analytical capabilities through partnership with Data Engineering to influence roadmap and development of datasets
Requirements
- Strong understanding of marketing performance drivers
- Action-oriented with a strong analytical mindset and curiosity to drive a deeper understanding of what’s happening and why
- Technical expertise in SQL, Salesforce, Marketing Automation tools (Hubspot/Marketo) and data visualization tools (e.g., Tableau).
- Excellent communication skills, capable of presenting technical content to non-technical audiences
- Proven ability to initiate and complete analytical projects independently
Nice to Have
- Experience in DBT
- Python/R
Benefits
- Industry-competitive salary and equity
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
- 16 weeks fully-paid Parental Leave for all new parents
- Health & wellness stipend
- Remote workspace, internet, and cellphone stipend
- Commuter benefits for team members who report to the SF and NYC office
- Family planning benefits
- Matching 401(k) contribution with immediate vesting
- Flexible PTO policy, plus 80 hours of Sick Time
- 11 company-paid holidays
- Virtual team building activities, lunch and learns, and other company-wide events!
Work Arrangement
Hybrid
Additional Information
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
