Data Analyst Lead

Facts about Uscreen

• Bootstrapped vertical SaaS and payments company generating tens of millions in ARR at a 45% EBITDA margin.
• Growing over 100% YoY in a market (‘creator economy’) that is growing at a 30-50% CAGR — YouTube alone grew advertising revenue ~44% YoY in Q3’21.
• Two product-led pricing tiers of $99 (Basic) and $199 (Growth) with a sales-led, custom-priced ‘Uscreen Plus’ package that ranges from $12k to $40k ACV.
• 125 employees with, ~45 software engineers.

What you will do

Your analysis won’t sit on a shelf in some executive office. You’ll be answering questions that directly impact Uscreen and our creators success, like:

• What are the long-term unit economics of our various marketing efforts.
• Is this new feature working as we wanted it to, and if so, what kinds of creators are finding it most useful and planing on how we can measure it before we will even start working on it.
• How does the cohort of creators who came in via this campaign differ from those who came in from last month’s campaign.

In addition to questions like these, you’ll also:

• Define and track KPIs for launches, campaigns, and product features.
• Uncover insights about how creators and their audience use Uscreen to inform product development, marketing, and support.
• Design, build, and automate dashboards.
• Design and measure A/B and multivariate tests.
• Own” data at Uscreen — this includes designing and automating reports and defining requirements for event tracking. This also means that you’ll be responsible for ensuring that our data stays clean and up-to-date. For example, when our development team changes the name of an event, you’ll communicate and follow up with our data engineering partner to ensure that everything continues to work smoothly.
• Translate data signals into actionable insights for different stakeholders (executives, strategists, writers, support agents, designers, etc.).
• Help a team of two analysts to do their best work.

Important: this is not a job where you’ll be tasked with helping us squeeze every last dime out of customers. We’re a business, and we need to stay profitable, but our goal, more broadly, is to empower video entrepreneurs, and we need help using data to make our path to doing that more clear.

Do you have what it takes

• Has been a data analyst in a subscription software company. You should have a strong understanding of standard SaaS metrics like MRR, churn, LTV/CAC, etc.
• Is passionate about getting a helpful answer, and not just the technically correct one. When you get asked for an answer, you’re comfortable pushing back and helping the asker ask a better question that gets to the root of what they’re trying to achieve.
• Has a mastery of SQL and is comfortable with the tools in the modern data stack. Python/Ruby is a nice-to-have, but by no means a requirement. We use Stitch for ingestion, Bigquery for storage, Holistics for transformations, and for BI. You’ll be asked to build queries and dashboards in Holistics.
• Has fluency in common programming languages helpful for analysis, such as Python and R.
• Has strong familiarity with common testing methodologies/frameworks and web analytic tools.
• Has experience with predictive and descriptive modeling.
• Has data visualization skills, and more broadly Is an ambassador for data fluency. People have different levels of understanding about data, analysis, experiment design, statistical rigor, and all of the important things that you’ve spent so much time mastering. You need to be able to simplify the complex for people, and help them better understand how data is helping them.
• At least 4 hours overlap with US Eastern Time.
• 4+ years of data analyst experience, preferably in SaaS.