Data Analyst, Product and Growth

Noovo · Nevada, United States · 1 mo ago

EngineeringFull-time

Stand up and maintain a clean, trustworthy measurement layer, including event taxonomy, GA4, tag management, and server-side tracking.
Resolve the data quality issues that make current numbers unreliable, and re-baseline once fixes are validated.
Owning the integrity of tracking across the site so the team can trust every number it acts on.

Define and maintain the KPI tree: the leading and lagging metrics for each funnel stage, from first visit through lead generation.
Establish clear, defensible definitions for each stage, including what qualifies as a digital lead versus a low-intent contact.
Keep the funnel model honest, including lead quality, so headline numbers reflect real prospects rather than inflated counts.

Own the visit-to-lead-to-sale dashboards for both the digital product team (a daily operational view) and marketing team (performance per channel).
Build a single source of truth for reporting so the business reads from one tool rather than several, with self-service access to filter by date, channel, and segment.
Own and improve reporting in HubSpot, ensuring lead tracking, lifecycle stages, and channel performance are accurate and trustworthy.

Connect online and offline activity across web, phone, and events so we understand which sources actually drive qualified leads and deposits.
Surface which channels are performing so we can allocate spend and effort based on evidence.

Spend dedicated time proactively exploring the data to surface insights the business is not yet asking for.
Turn analysis into clear prioritization input so roadmap and marketing decisions are driven by evidence, not instinct.
Partner with product, marketing, and sales to answer ad hoc questions and pressure-test assumptions, for example cancellation rates, deposit intent thresholds, and conversion by segment.
Translate data into plain-language insight for non-technical stakeholders, including leadership.

GA4 and Google Tag Manager
Server-side tracking and event taxonomy design
Hotjar or similar behavioral and session analytics
HubSpot reporting and lifecycle, and funnel configuration
SQL and data querying
Cloud data warehouse, ideally Google BigQuery
SQL-based data transformation, ideally dbt
ELT and data extraction tooling such as Airbyte or Fivetran
BI and dashboarding tools, ideally Looker Studio (experience with Looker, Tableau, or Power BI transfers)
Multi-touch attribution modeling
Funnel and conversion analytics
Data validation and quality assurance
AI and automation

3 to 6 years in a data analyst, product analyst, marketing analyst, or growth analytics role.
Hands-on experience standing up and maintaining web instrumentation (GA4, tag management, server-side tracking).
Strong, demonstrable experience with HubSpot reporting, including a working understanding of lead lifecycle and funnel stages.
Proficiency in SQL and at least one BI or dashboarding tool.
Hands-on experience with a cloud data warehouse and SQL-based transformation (BigQuery and dbt strongly preferred).
Proven ability to define metrics and build a KPI tree or equivalent measurement framework from the ground up.
Strong analytical judgment, with the ability to investigate ambiguous questions and connect data to business outcomes rather than just produce reports.
Excellent communication skills, especially the ability to explain data and analytics concepts to non-technical teammates and leadership.
Comfortable owning ambiguity and working independently in a fast-paced, evolving environment.

Experience with attribution modeling across both online and offline channels.
Experience in DTC, e-commerce, or a high-consideration, high-ticket purchase funnel.
Experience building self-service reporting for leadership.
Familiarity with experimentation and A/B testing.
Experience in a startup or high-growth environment.
A background that bridges product data and marketing or revenue data.
Experience working in Google Cloud Platform (GCP).

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