Manager Data & Analytics

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.