Product Data Analyst

About the position

The Product Creation & Merch (PCM) Data Analyst role is designed for an innovative global team, focusing on supporting product creation and merchandising decisions through data insights. The position requires strong analytical skills, data manipulation expertise, and the ability to collaborate cross-functionally. The ideal candidate will leverage reporting and data visualization tools, advanced SQL, and Python or R coding to drive actionable insights.

Responsibilities

• Collaborate with cross-functional teams to support product creation and merchandising with actionable data insights.
• Use Tableau or Sigma (or similar tools) to create impactful data visualizations and reporting dashboards.
• Develop and execute complex SQL queries (using Snowflake) to prepare data for reporting and advanced analytics.
• Utilize Python or R for data preparation, transformation, and modeling large datasets.
• Analyze large datasets to identify trends, patterns, and opportunities for automation of insights generation.
• Partner with Technology teams to implement automation solutions where applicable.
• Apply a business mindset to ensure data insights are directly relevant to product decisions and business goals.

Requirements

• Bachelor's degree in Mathematics, Analytics, Information Systems, Business Analytics, or a related field, or equivalent combination of education and professional experience.
• 3+ years of professional experience in analytics, information systems, business analytics, or related roles.
• Advanced SQL skills, including the ability to write complex and scalable queries to extract and manipulate data.
• Intermediate to advanced proficiency in Python or R for data preparation, transformation, and modeling.
• Strong analytics and problem-solving skills; able to creatively approach complex data challenges.
• A business-oriented mindset, with the ability to apply data insights to inform product decisions.

Nice-to-haves

• Experience with Tableau or Power BI for data visualization.
• An automation mindset, with a passion for streamlining insights generation and working collaboratively with technology teams.