Senior Manager, Marketing Analytics & Insights

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

About Hi-Altitude Brands

Hi-Altitude Brands, through our flagship brand, Stonehenge Health, is a fast-growing direct-to-consumer supplement company on a mission to help people live healthier, more vibrant lives. We develop premium, science-backed formulations featuring clinically studied branded ingredients that set us apart from competitors. Our products are sold through our website, Amazon, and Walmart, reaching hundreds of thousands of customers nationwide.

We are a fully remote team that values autonomy, ownership, and results. We move fast, test constantly, and hold ourselves to high standards. If you thrive in environments where your work has a direct, measurable impact, you will fit right in.

Position Overview

We're hiring a Direct-to-Consumer Senior Data Analyst to be the analytical backbone of our marketing organization. You'll own analytics across the full marketing funnel — acquisition, brand, and retention — and turn complex data into clear recommendations on where to invest, what to test, and what to do next.

You'll lead MMM, MTA, incrementality testing, executive reporting, and predictive modeling, while helping us evolve our analytics infrastructure. You'll inherit a strong foundation across BigQuery, Power BI, SQL, and Python and play a key role in evaluating and transitioning to a more modern, AI-augmented analytics platform.

You'll report to the Chief Retention Officer, who will provide strategic direction while relying on you as the subject‑matter expert for analytics, methodology, and data‑driven decision‑making.

Responsibilities

Marketing & Media Analytics (Core Focus)

• Own MMM, MTA, and incrementality testing across the marketing funnel
• Analyze DTC channel performance and cross-channel halo effects using Northbeam or similar platforms
• Evaluate channel efficiency and recommend marketing investment priorities
• Apply subscription and DTC economics (CAC, ROAS, LTV, churn, AOV, and CPA) to marketing decisions
• Support A/B test design and analysis across CRM and marketing channels

Insights & Reporting

• Build and maintain executive dashboards across marketing and customer performance
• Translate complex, multi-source data into clear, actionable insights
• Partner with the CRO and marketing leadership on data-driven decision‑making

Predictive & Decision Modeling

• Build churn, LTV, profitability and sensitivity models
• Develop models to evaluate the long‑term financial impact of tests and business decisions
• Use analysis and modeling to inform go/no‑go recommendations

Data & Analytics Infrastructure

• Evaluate and help select our next BI/analytics platform, including AI-augmented capabilities
• Lead the transition from Power BI to the selected platform, including report migration and stakeholder adoption
• Map and document data sources, definitions, dependencies, and gaps
• Establish data quality, governance, and metric standards
• Manage data connections and ETL processes as needed

Requirements

• 5-7+ years in analytics, marketing analytics, or a related quantitative field
• Experience working with subscription-based or recurring-revenue business models, ideally within DTC/e-commerce
• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field
• Deep expertise in subscription and DTC unit economics, including CAC, ROAS, CPA, churn, LTV, and AOV
• Hands‑on experience with MMM, MTA, and incrementality testing, including reconciling conflicting model outputs
• Experience with Northbeam, Triple Whale, Rockerbox, or similar attribution/analytics platforms
• Strong statistical modeling skills, including churn, LTV, and profitability modeling
• Expert SQL and strong Python skills for transformation, automation, and modeling
• Experience designing and interpreting A/B tests and causal inference
• Hands‑on experience with Power BI or similar BI platforms and migrating to new technologies
• Proven ability to turn analysis into clear business recommendations and challenge assumptions when warranted
• Strong communication skills with experience presenting to CEO/COO-level audiences
• Ability to work independently, prioritize competing demands, and manage long‑term projects

Nice to Have

• Experience in a DTC + Amazon hybrid business, particularly measuring cross-channel halo effects
• Experience with health & wellness or supplements
• Experience evaluating or migrating BI platforms such as Domo, Sigma, Looker, or Tableau
• Familiarity with AI-driven analytics and decisioning tools, including natural-language reporting, Hightouch, Braze, or similar
• Experience with dbt, Airflow, or similar data pipeline tools
• Prior experience managing or mentoring junior analysts

Compensation

Competitive Salary: $135,000 - $165,000 (based on experience), bonus eligibility

Benefits

• Flexible time off + 9 annual company holidays
• Your Birthday is a paid vacation day - take the day to celebrate your awesomeness!
• 100% company-paid base plan Medical, Dental, and Vision Insurance for employees
• 100% company-paid Life Insurance and Short-Term Disability Coverage
• 3% Employer contributions to 401(k) regardless of employee participation! (Free money)
• Matching Charitable Contributions up to $2,500/year
• $1,200/annual Work from Home (WFH) stipend
• Employee Recognition and Rewards Program
• Pet insurance
• Employee Product Samples and Discounts
• Professional Development Fund
• Free Calm App Subscription

Hi-Altitude Brands is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive, welcoming environment for all.