Lead Data Analyst

**Lead Data Analyst**:
**About Product School**:
Product School is the global leader in product training, with a thriving community of over two million professionals. We offer live, online certifications taught by Product Leaders from top Silicon Valley companies like Google, Meta, Netflix, and Amazon.

In addition to certifications, we host ProductCon, the world's largest product management conference, and produce The Product Podcast, a leading podcast for product professionals.

Founded in 2014, Product School was bootstrapped for the first 7 years before raising $25 million from Leeds Illuminate. We are proud to be a profitable, fast-growing company shaping the future of education.

**The Role**:
We're looking for a strategic and hands-on data leader to drive insights-based decision making across Product School. In this role, you'll collaborate closely with cross-functional teams—including Sales, Marketing, Product, and Platform—to build scalable reporting solutions, uncover meaningful insights, and influence business strategy. You'll own the data roadmap, guide the adoption of tools and best practices, and coach junior analysts to elevate the overall analytics function. If you thrive in ambiguity, love crafting compelling data narratives, and enjoy building analytics programs from the ground up, this role is for you.

**What you'll do**:

- Promote data and insights-based decision making throughout Product School by collaborating with company leaders and their teams across Sales, Marketing, Product, Finance,and Platform.
- Own the creation, prioritization, and execution of a data roadmap to help the business identify potential analyses and experiment opportunities.
- Build dashboards and reporting for Marketing, Enterprise, & Consumer sales teams and other divisions that empower our business leaders and move us towards a self-service model (eg. pipeline reporting, campaign reporting, attribution dashboards for functional teams, etc).
- Prioritize the data team's work effectively to balance delivery of proactive and practical insights with a timely turnaround on ad-hoc requests that are aligned with company objectives.
- Deliver impactful insights within the context of engaging narratives to help guide stakeholder decision-making.
- Work with Data Engineering to select and establish data tools that serve business needs and enable us to identify and advocate for process improvements and industry best practices.
- Coach and mentor junior analysts to drive them forward in their analytics careers.

**This role could be a good fit for you if**:

- You have at least 5 years of experience, with at least 1 of those years working in high-growth/start-up environments.
- You've worked with a range of data tools from Excel and Data Studio to sleeker visualization tools like Lookr or Tableau and can speak to their pros and cons.
- You are comfortable working closely with executive leadership and know how to deliver compelling narratives with meaningful insights.
- You're are unafraid to work with raw data (read: might be a lot of CSV sheets) in order to get the answers you need.
- You thrive in ambiguity and love identifying the right questions that will drive growth.

**The perks**:

- **Remote First** - _our team works remotely across multiple countries and time zones_
- **Medical, Dental, and Vision Coverage in the US** - _support for additional coverage is available in Spain_
- **Company Team Offsites and Coworking** - _we believe that remote-first doesn't mean remote-only_
- **Free Product School Course Offerings** - _we offer a range of courses and certifications worth $15,000 that we readily encourage our employees to explore_
- **Monthly Internet Reimbursement -**_we support our team, wherever they're working from_
- **Parental leave**

**EEOC**
- At Product School, we don't just accept differences-we embrace, support, and celebrate the things that make each of us unique and benefit our employees, services, and community_. We're proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status._