Data Analyst, Product and Growth

Noovo is redefining van life through design, comfort, and craftsmanship. Built on a premium chassis with European-inspired interiors, every Noovo van is designed to feel like home wherever the road leads. Headquartered in Las Vegas, Noovo is one of the fastest-growing lifestyle vehicle brands in the U.S., known for its modern aesthetic, transparent process, and authentic community of travelers who choose to live differently.

Noovo is looking for a Data Analyst (Product and Growth) to own how we measure and understand our digital business. This is the first dedicated data hire embedded with the digital product team, and the role is deliberately broad. It spans three things: standing up trustworthy instrumentation across our website and funnel, owning the reporting and dashboards that the team and leadership rely on (including Hub Spot), and acting as a true analytical partner who proactively surfaces the insights we are missing.

This is not a plumbing role. You will own the numbers end to end, from the event taxonomy through to the executive dashboard, and you will have both the mandate and the curiosity to dig into the data and surface things we should know but do not. You will work closely with product, engineering, marketing, and sales, and you will be the single source of truth for how the business reads its own performance.

• Stand up and maintain a clean, trustworthy measurement layer, including event taxonomy, GA4, tag management, and server-side tracking, Hub Spot, MTA tool.
• Resolve the data quality issues that make current numbers unreliable, and re-baseline once fixes are validated.
• Own 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), marketing team (performance per channel) and leadership (a focused, self‑service executive view).
• 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 Hub Spot, ensuring lead tracking, lifecycle stages, and channel performance are accurate and trustworthy.
• Treat phone calls, boutique and RV show interactions, and other offline touchpoints as first‑class conversion events so no lead source is invisible.

• 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
• Hub Spot reporting and lifecycle, and funnel configuration
• SQL and data querying
• Cloud data warehouse, ideally Google Big Query
• 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…