Senior Data Analyst

About iRESTORE

iRESTORE is a fast-growing direct-to-consumer brand in the beauty and wellness space, focused on helping customers restore confidence through safe, effective, and technology-led solutions for hair regrowth, skin, and body care.

iRESTORE has been featured by leading health, wellness, and technology publications for our innovation, products, and customer impact. Explore the latest features and see why more people are paying attention to iRESTORE :

- Esquire highlighted iRestore’s innovation in the red light therapy and wellness space

- Forbes featured the iRestore Hair Growth System and its FDA-cleared red light therapy technology

- Innerbody Research published an in-depth review of the iRestore system and user experience

As iRESTORE continues to grow, we’re building the team and capabilities needed to become a global leader in beauty, health, and wellness. We’re looking for people who think big, take ownership, collaborate well, and use data to make better decisions. If you’re excited to help shape the next chapter of a fast-growing brand at the intersection of wellness and technology, we’d love to hear from you!

About The Position

iRESTORE is seeking a sharp, impact-driven Data Analyst to serve as a strategic partner to our Growth organization and help shape the company’s most important growth decisions. We’re looking for someone who can turn complex, raw datasets into clear recommendations across revenue, contribution margin, acquisition efficiency, pricing, refunds, forecasting, and experimentation. The right candidate is commercially minded, confident working in SQL, and comfortable connecting marketing performance to CAC, LTV, payback periods, and profitable growth. This role works directly with the Head of Data and VP of Growth, challenges assumptions, and brings a strong point of view to decisions that influence millions of dollars in marketing investment.

This is a fully remote independent contractor opportunity with flexibility to manage working hours and location. Success will be measured by the quality and timeliness of the work, with availability expected for agreed collaboration windows, key meetings, and project deadlines.

Responsibilities

- Analyze daily, weekly, and monthly revenue and contribution margin performance across channels and geographies, including performance against forecast and plan.

- Identify and quantify the drivers behind revenue and contribution margin changes, including CAC, refunds, discount depth, channel mix, and demand shifts.

- Partner with Paid Media and Growth teams to evaluate true channel economics using refund-adjusted CAC, contribution margin, LTV, cohort retention, and payback periods.

- Recommend when to scale, rebalance, or reduce channel investment based on unit economics and expected financial impact.

- Build and maintain cohort-based refund curves, retention analyses, and payback models.

- Distinguish structural changes in customer behavior from timing or reporting effects, and quantify the impact of pricing, policy, promotional, and operational changes.

- Rapidly diagnose performance changes, model business trade-offs, and translate findings into clear recommendations.

- Support 30-, 60-, and 90-day revenue forecasts and scenario models for promotions, pricing experiments, seasonal shifts, and changes in marketing investment.

- Build monitoring frameworks that surface demand shifts, anomalies, and emerging risks before they materially affect performance.

- Develop simple, executive-ready dashboards focused on revenue versus plan, contribution margin, channel efficiency, refunds, and payback.

- Present clear findings and recommendations to the Head of Data, VP of Growth, and cross-functional leaders to support budget allocation and other growth decisions.

- Partner with the Data Engineer to strengthen data models, reporting accuracy, documentation, and analytics workflows.

- Use AI-powered development tools to accelerate SQL devel