Head of Data & Analytics
Listed on 2026-06-04
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IT/Tech
Data Engineer, Data Analyst
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 UsWe are My Derma Dream , one of the fastest growing direct‑to‑consumer skincare companies serving 500,000+ customers across multiple channels including DTC, Shopify, Checkout Champ, 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 OpportunityWe 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
- 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
- Establish processes that ensure 99%+ data accuracy
- Build reconciliation and validation systems across data sources
- Implement QA frameworks to detect anomalies and reporting errors
- 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
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 & AutomationWe 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 SkillsWe are looking for strong hands‑on experience with:
Programming & Data- Python or R
- Advanced SQL
- Data extraction, transformation, and validation
- ETL/ELT tools (Airbyte, dbt, or similar)
- Data warehouses such as Big Query or Panoply
- Building APIs, connectors, and data integrations
- Building scrapers where needed
- Power BI (preferred) or Tableau / Looker Studio
- Advanced Excel or Google Sheets
- Shopify
- Meta Ads
- Google Ads
- GA4
- Amazon
- Checkout Champ
- CRM systems
- Klaviyo
- Zapier
- n8n
- or similar workflow…
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