About the role

Role Overview

Analytics Engineer at Invested Inc — first data hire for a multi-brand subscription and media company. You will build the company’s data foundation so core subscription and media questions can be answered quickly without manual spreadsheet work.

What You’ll Do

Own the data stack end to end
Stand up a centralized data warehouse
Design and build ELT pipelines across SaaS tools and custom SQL backends
Recommend and implement the BI layer (based on the shape of the data)
Build an identity resolution layer to unify:
- anonymous events
- newsletter subscribers
- mobile subscribers
- web customers
Model acquisition, conversion, revenue, retention, and affiliate attribution so standard metrics can be answered fast
Document everything to enable scale

Requirements

5+ years building data warehouses in B2C, subscription, or media contexts
Production-level SQL
dbt experience
Comfortable writing Python to ingest a SaaS API or replicate a custom database when no managed connector exists
Strong communication skills; can story-tell and report to wider teams
Self-directed; ships without needing detailed specs
Fluent with modern AI tooling (e.g., Cursor, Claude) for daily work

Nice to Have

Experience with subscription/newsletter/affiliate tooling
Startup experience (angel/seed stage)
Ability to ship independently without a large platform team

Engagement / Location

Fully remote with occasional travel for off-sites and meetings
Contract or FTE (Canada or US indicated)
Contact: [email protected]

About Invested Inc

Invested Inc is building a go-to media company for retail investors, combining real audience, real revenue, and momentum across multiple business lines. The team is AI-forward and focused on moving fast by owning domains end to end, with a strong emphasis on building a modern data stack from scratch.

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