DTC Senior Data Analyst

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.

Employment type: Full-time

Industries: Non-profit Organizations and Primary and Secondary Education