Lead Data Analyst

About Us

Noosh is reimagining the way women wear tights. As a fast-growing DTC brand, we're disrupting a stagnant industry with innovative products, bold storytelling, and a customer-first approach. Backed by a passionate team and loyal customer base, Noosh is scaling fast—and we’re looking for a strategic, data-obsessed data lead to join our executive team.

We’re looking for a proactive builder—someone eager to take ownership and shape the way we use data from the ground up. As the first data-focused hire at Noosh, you'll be a key member of our leadership team, with the opportunity to help define how insights drive decisions across the business.

You’ll analyze marketing and product data, support strategy development, and partner with cross-functional teams to ensure our operations are insight-led. You’ll also lead the creation of dashboards and reporting tools, build and manage our data infrastructure, and drive a culture of measurement and experimentation.

You’ll own the end-to-end data strategy and execution, ensuring we have the systems and visibility to support smart, scalable growth.

This is a rare opportunity for a highly technical, commercially minded analyst to leave a lasting mark on a brand in hypergrowth.

• Build, manage, and optimize our data warehouse and pipelines.
• Analyze large, complex datasets to extract insights and identify trends.
• Design and maintain reporting tools and dashboards using platforms like Looker or Tableau.
• Create clear and actionable data visualizations for various stakeholders.
• Collaborate with teams across the company to understand their data needs and build tailored solutions.
• Translate technical findings into strategic business recommendations.
• Serve as the in-house expert on data analytics and BI tools, providing support across departments.
• Ensure all functions—marketing, product, CX, operations—have reliable access to accurate, up-to-date data.
  

• Hold a Bachelor’s degree in a technical or analytical field.
• Have 3+ years of experience in a Data or Product Analyst role, with strong command of SQL.
• Comfortable with ETL processes, data modeling, and data engineering fundamentals.
• Skilled in BI tools like BigQuery, Looker, Tableau, or similar.
• A self-starter who thrives in fast-moving environments and loves solving business problems with data.
• Strategic in mindset, operational in approach—you know how to drive clarity and impact.
• Collaborative and communicative—you bring alignment across teams through insights.
• Excited by early-stage brand building and the energy of a fast-growing startup.
  
  

• Experience working in a DTC brand or eCommerce environment.
• Familiarity with ML, predictive modeling, or AI applications.
  
  

• A front-row seat to the next big DTC breakout.
• The ability to architect a data-driven growth engine from the ground up.
• High-impact role with full executive visibility and ownership.
• Smart, driven, founder-led team with a clear mission and loyal customers.
• Competitive compensation + equity + benefits.