Hi-Altitude Brands

Creative marketing for health brands

Senior Data Analyst

Data ScienceConfirmed live in the last 24 hours

Full-timeRemote in USA

About the Job

Requirements

The candidate must have 5–7+ years of experience in analytics, marketing analytics, or a related quantitative field.
The candidate must have experience with subscription-based or recurring-revenue business models, ideally within direct-to-consumer or e-commerce.
The candidate must have a bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
The candidate must have deep expertise in subscription and direct-to-consumer unit economics, including customer acquisition cost, return on ad spend, cost per acquisition, churn, lifetime value, and average order value.
The candidate must have hands-on experience with media mix modeling, multi-touch attribution, and incrementality testing, including reconciling conflicting model outputs.
The candidate must have experience with Northbeam, Triple Whale, Rockerbox, or similar attribution and analytics platforms.
The candidate must have strong statistical modeling skills, including churn, lifetime value, and profitability modeling.
The candidate must have expert SQL skills and strong Python skills for transformation, automation, and modeling.
The candidate must have experience designing and interpreting A/B tests and causal inference.
The candidate must have hands-on experience with Power BI or similar business intelligence platforms and migrating to new technologies.
The candidate must be able to turn analysis into clear business recommendations and challenge assumptions when warranted.
The candidate must have communication skills and experience presenting to CEO- and COO-level audiences.
The candidate must be able to work independently, prioritize competing demands, and manage long-term projects.

Responsibilities

Own media mix modeling, multi-touch attribution, and incrementality testing across the marketing funnel.
Analyze direct-to-consumer channel performance and cross-channel halo effects using Northbeam or similar platforms.
Evaluate channel efficiency and recommend marketing investment priorities.
Apply subscription and direct-to-consumer economics, including customer acquisition cost, return on ad spend, lifetime value, churn, average order value, and cost per acquisition, to marketing decisions.
Support A/B test design and analysis across customer relationship management and marketing channels.
Build and maintain executive dashboards across marketing and customer performance.
Translate complex, multi-source data into clear, actionable insights.
Partner with the Chief Retention Officer and marketing leadership on data-driven decision-making.
Build churn, lifetime value, 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.
Evaluate and help select the next business intelligence and 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 extract, transform, and load processes as needed.

Desired Qualifications

Experience in a direct-to-consumer and Amazon hybrid business, particularly measuring cross-channel halo effects.
Experience with health and wellness or supplements.
Experience evaluating or migrating business intelligence 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.

DTC Senior Data Analyst

Hi-Altitude Brands · United States (Remote) · Full-time · Posted 2026-09-23

Salary: USD 135,000–165,000

Workplace: remote

Department: E-commerce

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.

Apply

Apply at Hi-Altitude Brands

About the Company

Hi-Altitude Brands

Creative marketing for health brands

Hi-Altitude Brands provides marketing services focused on health and wellness. It collaborates with brands to create campaigns and experiences that connect with consumers, using quality research, technology, and data-driven insights to drive engagement and sales. The company operates with a fully remote team and offers comprehensive benefits, emphasizing employee growth, work-life balance, open communication, and a culture where each team member’s talents are valued. Led by leaders with extensive experience in marketing, direct response, and consumer services, Hi-Altitude Brands aims to help brands reach loyal customers worldwide while supporting the personal and professional success of its employees.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Los Angeles, CA
Founded: 2014

Recently Posted Jobs

Explore more opportunities at Hi-Altitude Brands

See more jobs