Senior Marketing Analytics & Insights Leader — Remote

Hi-Altitude Brands; California; Remote; USD 135,000 - 165,000; Full time

Benefits offered by this job

Flexible time off

9 annual company holidays

Medical, Dental, Vision insurance (100

Life Insurance

401(k) matching

WFH stipend

Professional Development Fund

Calm App subscription

Job summary

Hi-Altitude Brands is seeking a Senior Data Analyst to own analytics across the full marketing funnel, including MMM, MTA, and incrementality testing. You will transform multi-source data into actionable insights and build dashboards for executives.

You will also develop models for churn, LTV, and profitability while guiding a move to a new AI-augmented analytics platform and a Power BI transition. This role reports to the Chief Retention Officer and supports data-driven decisions across the

Qualifications

• 5-7+ years in analytics, marketing analytics, or related quantitative field.
• Experience with subscription-based or recurring-revenue models, especially DTC/e-commerce.
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field.
• Deep expertise in subscription and DTC unit economics (CAC, ROAS, CPA, churn, LTV, AOV).
• Hands-on MMM, MTA, and incrementality testing, reconciling outputs.

Responsibilities

• Own MMM, MTA, and incrementality testing across the marketing funnel.
• Build and maintain executive dashboards across marketing and customer performance.
• Develop churn, LTV, profitability and sensitivity models; evaluate long-term impact of tests.

Skills

Analytics

Marketing analytics

SQL

Python

A/B testing

Data modeling

Power BI

Northbeam

MTA/MMM

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS

Tools

Northbeam

Triple Whale

Rockerbox

Power BI

Job description

Hi-Altitude Brands is seeking a Senior Data Analyst to own analytics across the full marketing funnel, including MMM, MTA, and incrementality testing. You will transform multi-source data into actionable insights and build dashboards for executives.

You will also develop models for churn, LTV, and profitability while guiding a move to a new AI-augmented analytics platform and a Power BI transition. This role reports to the Chief Retention Officer and supports data-driven decisions across the