Digital Analytics Engineer

Who you are:

As a Digital Analytics Engineer, you'll own how Hometap captures and governs its product and marketing event data. Today we track roughly 200 product events, and you’ll be the person who manages that ecosystem by owning the event taxonomy and tracking plan, to keep the data flowing into our downstream tools trustworthy. You’ll sit on the data engineering and analytics team and work closely with marketing, product, and engineering—all of whom interact with this data to make decisions.

This is a role for someone early in their analytics engineering career who cares about data quality, can turn messy tracking into a clear system, and is comfortable partnering across teams to get instrumentation right.

What you’ll do:

• Audit the current Segment inventory, consolidate duplicates and naming drift, and establish a governed object-action naming convention
• Build and maintain the tracking plan, keeping it to a navigable size, and deprecate events deliberately as the product changes.
• Stand up enforcement so standards are gated
• Configure and manage Segment Protocols for schema validation and violation handling, and manage the sources feeding downstream tools
• Advise on our hybrid capture model with product and engineering; determine if events should be server-side, client-side, or both
• Partner with marketing, product, and engineering on what gets tracked and what it means, and translate their requirements into well-formed event specs
• Document tracking standards, interact with teams so they instrument consistently, and run a review process for proposing, approving, and deprecating events
• Build automated monitoring for schema conformance, event volume, and property completeness that catches naming drift, type mutation, and alert on shift before it corrupts downstream metrics

What you bring:

• 2+ years of experience in a Data Analyst, Data Analytics, or similar role
• Experience with Segment or a similar customer data platform. Familiarity with the broader analytics landscape like Amplitude, Mixpanel, PostHog, or GA4 is a plus
• A solid grasp of event taxonomy and tracking-plan concepts, including object-action naming, controlled vocabularies, and property typing
• SQL proficiency and comfort querying data in a cloud data warehouse
• Working knowledge of JSON Schema and JavaScript
• Familiarity with Git and CI/CD, and the instinct to treat tracking like code by wiring validation and tests into the pipeline
• Ability to explain tracking standards clearly to marketing, product, and engineering partners and align non-technical stakeholders on why governance matters