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Head of Data & AnalyticsMy Derma Dream • New York, New York, United States
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Head of Data & Analytics

My Derma Dream
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Have you led the data function inside a fast-growing ecommerce brand?
Do you obsess over streamlining and optimizing how your team consumes the data visualizations you create?
Are you someone who loves building systems that don’t exist yet, turning messy data into clear insight that leadership relies on every day?
And do you want to work with a fully remote team that meets around the world each quarter to plan the next phase of growth?
If so, keep reading.
About Us We are MyDermaDream, one of the fastest growing direct‑to‑consumer skincare companies serving 500,000+ customers across multiple channels including DTC, Shopify, CheckoutChamp, Amazon, and telemarketing.
We believe data should drive everything.
Not as static reports sitting in a folder, but as living systems that guide every decision across the company.
Our goal is simple:
To build a data environment where leadership can open their phone and instantly understand what is happening in the business, drill into the metrics that matter, and make better decisions in real time.
This role will lead that transformation.
The Opportunity We are hiring a Head of Data & Analytics to own and evolve the company’s entire data infrastructure.
You will assess the systems we have today, identify where we can improve, and lead the development of the next generation of reporting, dashboards, and data pipelines.
You will also build and lead a team of data analysts aligned with our major departments to ensure consistency in reporting and eliminate duplicate work across the organization.
This is a hands‑on leadership role for someone who loves building systems, solving complex data problems, and helping teams operate with greater clarity. If you’re not able to lead AND dive in and get work done, don’t bother applying.
What You’ll Be Responsible For Data Infrastructure Leadership
Evaluate and improve the company’s current data architecture
Design and maintain scalable ETL/ELT pipelines across all data sources
Ensure reliable and consistent data across all dashboards and reporting systems
Build infrastructure capable of near real‑time KPI visibility for leadership
Executive Data Systems
Create dashboards that allow executives to access critical business metrics from any device
Enable drill‑down capabilities across departments including marketing, operations, finance, and customer experience
Standardize definitions and formulas for core company KPIs
Data Quality & Accuracy
Establish processes that ensure 99%+ data accuracy
Build reconciliation and validation systems across data sources
Implement QA frameworks to detect anomalies and reporting errors
Team Leadership
Hire and lead a team of data analysts aligned to each department
Mentor analysts to expand their technical and analytical capabilities
Ensure reporting standards are consistent across teams
Eliminate redundant reporting work across departments
Strategic Focus Areas You will play a key role in analyzing and improving:
Customer acquisition and funnel performance
ROAS, CPA, LTV and retention
Revenue performance across sales channels
Inventory and fulfillment trends
Marketing attribution and paid media performance
Operational efficiency and cost drivers
You will also build systems that automate recurring reporting so insights remain fresh without manual effort.
AI & Automation We strongly believe the future of data infrastructure will be built with AI.
The Head of Data & Analytics is expected to actively leverage:
AI tools
LLM models
workflow automation tools
to accelerate dashboard development, pipeline creation, and analysis workflows.
Curiosity and experimentation with emerging tools is essential.
Technical Skills We are looking for strong hands‑on experience with:
Programming & Data
Python or R
Advanced SQL
Data extraction, transformation, and validation
Data Infrastructure
ETL/ELT tools (Airbyte, dbt, or similar)
Data warehouses such as BigQuery or Panoply
Building APIs, connectors, and data integrations
Building scrapers where needed
Business Intelligence
Power BI (preferred) or Tableau / Looker Studio
Advanced Excel or Google Sheets
Data Sources
Shopify
Meta Ads
Google Ads
GA4
Amazon
CheckoutChamp
CRM systems
Klaviyo
Automation
Zapier
n8n
or similar workflow automation tools
Experience Requirements
Previous ecommerce experience is required
Experience in a company doing high seven‑figures in annual revenue or more is required
Experience in a company that has grown rapidly is required.
Proven experience building or managing data infrastructure
Experience leading or mentoring data analysts
Strong attention to data accuracy and validation
Ability to translate technical insights for non‑technical stakeholders
Work Structure
6 days per week
Approximately 10 hours per day
Fully remote
You will work closely with company leadership including the CEO and COO.
We also hold quarterly leadership off‑sites around the world where we gather to plan the next phase of growth.
Who This Role Is Perfect For This role is ideal for someone who:
Loves building systems that do not yet exist
Thinks deeply about how data shapes decision‑making
Enjoys solving complex infrastructure problems
Has the vision to design scalable analytics systems
Has been frustrated in the past by seeing the solution, but not being given the permission to build it
Wants to play a major role in the growth of a high‑velocity ecommerce company
If you're looking for the ride of a lifetime…
Apply now
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  • New York, New York, United States

Languages

  • English
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