At Clean Skin Club, clarity fuels everything — from our skincare to our systems. Help us turn data into insight and innovation that keeps our growth as clean as our ingredients.

Clean Skin Club

Clean Skin Club is a clean beauty brand that specializes in innovative facial hygiene products and exceptionally effective formulas, all with a holistic approach to skincare. We redefine the meaning of clean in the skincare industry by challenging its standard of common skincare solutions and raising the bar with our creations. Our products are heavily researched, creatively tested, and tirelessly perfected by our dedicated team of skin-thusiasts.

What You Will Do

The IT & Business Intelligence Lead owns all core business systems and data environments, ensuring secure, scalable, and connected operations. This role builds dashboards and insights that drive smarter decisions, while managing IT systems, cloud infrastructure, and data pipelines.

Responsibilities:

Build and automate BI dashboards using tools such as Power BI, Looker, or Tableau for recurring analysis and real-time visibility.
Translate complex business questions into structured analyses, delivering insights that drive strategy and performance improvement.
Report on KPIs such as Profitability by SKU and marketplace, pricing trends, Customer lifetime value (LTV), new vs. returning cohort, operational efficiency, forecasting accuracy, and inventory health.
Enable self-service analytics by empowering teams to access data independently.
Connect and integrate with e-commerce marketing platforms such as Meta, Google, and TikTok to enable data flow, performance tracking, and automated reporting.
Partner with Growth and Operations teams to provide forecasting support, trend analysis, and operational insights.
Analyze customer buyer behavior, LTV patterns, and retention cohorts to inform marketing and pricing strategy.
Provide clear storytelling, visuals, and recommendations for executive audiences.
Act as the sole data and analytics leader, bridging business and technology functions.
Collaborate closely with leadership, Amazon channel teams, marketing, and operations to align on data priorities.
Maintain documentation, data definitions, and metric governance to ensure consistent reporting across the organization.
Manage admin rights and integrations across Google Workspace, Shopify, Amazon, NetSuite, Base44, and 3PL platforms. Implement role-based access, maintain audit logs, and handle all onboarding/offboarding processes.
Enforce MFA, password policies, and security audits while ensuring compliance with GDPR/CCPA and retail partner requirements.
Oversee cloud storage, backups, and disaster recovery; secure APIs, VPN, and network access.
Serve as the central contact for IT vendors, track software licenses and renewals, control SaaS sprawl, and manage equipment as financial assets.
Lead technical system rollouts (e.g., NetSuite), coordinate integrations across commerce and logistics platforms, and maintain test environments for safe deployment.
Provide tiered IT support, manage ticketing and hardware provisioning, and standardize systems across teams.
Maintain data integrity and permissions across analytics and operational systems such as Looker and BigQuery.
Develop long-term IT strategy, forecast team growth needs, and provide regular reports on system health, risks, and improvements.
Design, set up, and maintain the company's data warehouse, integrating datasets from Amazon Seller Central, Amazon Ads, inventory management systems and other retailer platforms
Evaluate current data architecture — determine what exists today, identify gaps, and propose a long-term scalable solution.
Build and manage ETL pipelines for continuous, automated ingestion of marketplace, advertising, and operational data.
Ensure data integrity, consistency, and accuracy across all systems.

Who You Are

The ideal candidate for this role blends technical expertise with strategic vision to support growth across e-commerce, retail, and global operations.

Qualifications:

Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
5+ years of hands-on experience in analytics, BI, or data engineering roles.
Strong SQL skills — proficient in query optimization, joins, window functions, and advanced data modeling.
Experience with Amazon Seller Central, Amazon Ads data, and Shopify data (Sales, Advertising, Pricing, and Inventory).
Proven ability to build and automate dashboards using Power BI, Looker, or Tableau.
Experience managing data pipelines and integrating multiple data sources.
Strong analytical and problem-solving skills — capable of turning complex data into actionable insights.
Experience with Amazon SP-API or other API integrations preferred.
Familiarity with cloud platforms such as AWS, GCP, or Azure preferred.
Exposure to e-commerce or multi-marketplace analytics environments preferred.
Understanding of statistical methods, forecasting, and customer segmentation models preferred.

Benefits

Medical, Dental, Vision
Flexible PTO
Paid holidays

Clean Skin Club is committed to a diverse and inclusive workplace and encourage all qualified applicants to apply, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. While our job descriptions outline ideal qualifications, we recognize potential comes in many forms. If you believe in our work and have the foundational skills and experience that would contribute to our company culture and mission, we encourage you to apply.

E-commerce Business Intelligence Lead