Build a modern data stack for a multi-brand subscription and media company. Design and implement a centralized data warehouse, ELT pipelines, and BI layer. Answer business questions quickly and accurately.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
ABOUT INVESTED INC. We're building the go-to media company for retail investors. We have real audience, real revenue, and real momentum across multiple lines of business. What we don't have is a data stack. That's where you come in.
We're a small, AI-forward team led by founder Brandon Harris, who's built and exited a media business at scale before. We move fast, ship constantly, and trust the people we hire to own their domain end to end. If you've ever wanted to build a modern data stack with no legacy decisions to undo and no committees to navigate, this is that gig.
THE ROLE You'll be the first data hire at a multi-brand subscription and media company. Today, our business runs across a wide stack of SaaS tools, ad platforms, and custom backends. None of it is stitched together yet, and the standard subscription questions (CAC, LTV, retention, channel attribution, newsletter-to-paid funnel) can't be answered without manually jumping between platforms and spreadsheets. Your job is to fix that end to end: stand up the warehouse, design the identity layer that ties our customer data together, model the business, and make it so we can answer the next question in 30 seconds instead of 3 days.
We'll walk you through the specific stack and source list on the first call.
WHAT YOU'LL DO
- Own the data stack end to end. Stand up a centralized data warehouse, design and build the ELT pipelines across our SaaS stack and custom SQL backends. Recommend and stand up the BI layer (your call once you've seen the shape of the data)
- Design the identity resolution layer that ties anonymous events, newsletter subscribers, mobile subscribers, and web customers into a unified view
- Model acquisition, conversion, revenue, retention, and affiliate attribution so standard questions can be answered fast.
- Document everything for scaleÂ
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YOU'RE A FIT IF
- 5+ years building data warehouses at B2C, subscription, or media company
- Production-level SQL and dbt experience
- Ability to work in a fast-paced environmentÂ
- Comfortable writing Python to ingest a SaaS API or replicate a custom database when no managed connector exists.
- Strong communicator who can story-tell and report to wider teams
- Self-directed, ships without needing detailed specs
- Fluent with modern AI tooling (Cursor, Claude, etc.) in your daily workflow
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NICE TO HAVE
- Experience with subscription, newsletter, or affiliate tooling
- Worked at an angel or seed stage startup before
- You know how to ship without a 10-person platform teamÂ
ENGAGEMENT
- Contract or FTE
- Fully remote with occasional travel for off-sites and meetings
- Canada or USÂ
Apply here:
Contact me at quincy@invested.inc if you're hungry!
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