Data Analyst, Product & Growth

ABOUT NOOVO

Noovo is redefining van life through design comfort and craftsmanship. Built on 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.

ROLE OVERVIEW
Noovo is looking for a Product Data Analyst 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 HubSpot) 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.

KEY RESPONSIBILITIES
Instrumentation and Measurement

• Stand up and maintain a clean trustworthy measurement layer including event taxonomy GA4 tag management and server-side tracking Hubspot 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.

KPI Tree and Funnel Definition

• 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.

Reporting and Dashboards

• 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 HubSpot 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.

Attribution and Channel Insight

• 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.

Analysis and Decision Support

• 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.

RELEVANT TECHNICAL KNOWLEDGE

• 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

QUALIFICATIONS

• 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.

PREFERRED QUALIFICATIONS

• 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).

COMPENSATION AND BENEFITS

• Base salary range:$90-$115000
• Medical dental and vision insurance
• Paid time off and company holidays
• 401k
• Growth potential within a rapidly scaling design-forward company

• This is a remote.