Merchandise Data Analyst Jobs in Edison, NJ (NOW HIRING)

• Partner with cross-functional leaders to frame business questions, define success metrics, and translate business needs into clear analytical approaches.
• Build, maintain, and improve dashboards and recurring reporting across sales, customer, marketing, merchandising, site, retail, and channel performance.
• Analyze business performance to identify key drivers, emerging risks, and growth opportunities, and translate findings into practical recommendations.
• Support the development and maintenance of reliable datasets and data models using SQL, dbt, and a cloud data warehouse.
• Perform data validation and quality checks, reconcile results across sources, and help resolve reporting discrepancies.
• Maintain clear documentation for key metrics, business logic, dashboards, and recurring analytical processes.
• Analyze customer behavior, including acquisition, retention, repeat purchase, cohorts, lifetime value, category penetration, and cross-shopping patterns.
• Support the design, measurement, and interpretation of tests, campaigns, launches, and other business initiatives.
• Support eCommerce and Marketing analyses across traffic acquisition, onsite behavior, conversion funnels, eCommerce events, and digital experience performance, including work in Google Analytics 4 (GA4) and related tools.
• Develop concise presentations and written summaries that communicate findings clearly to technical and non-technical audiences.
• Manage recurring deliverables and high-priority ad hoc requests while maintaining strong accuracy, organization, and follow-through.

• Bachelor's Degree in a quantitative, technical, or business-related field, or equivalent practical experience.
• 3-5 years of experience in data analytics, business intelligence, or a related analytical role.
• Strong SQL skills, including experience joining and analyzing large datasets using common table expressions and window functions.
• Experience building and maintaining dashboards in a business intelligence platform such as Looker, Tableau, Power BI, or Metabase.
• Experience working with data in a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Strong analytical reasoning and the ability to translate data into clear business insights and recommendations.
• High attention to detail and a strong commitment to data accuracy, consistency, and documentation.
• Clear written and verbal communication skills, with the ability to explain findings to both technical and non-technical audiences.
• Ability to manage multiple priorities and deliver reliable work in a fast-paced, cross-functional environment.
• Must ensure that recurring reporting is accurate, timely, and trusted by business partners.
• Must be able to demonstrate from analyses not only what happened, but also the key drivers, implications, and recommended next steps.
• Proficient with dashboards, metric definitions, and analytical processes, ensuring they are well-documented, consistently maintained, and easy to use.
• Ability to partner cross-functionally to allow teams to make faster and better-informed decisions.

• Experience with Google Analytics 4 (GA4) is a significant advantage, particularly experience with eCommerce event tracking, funnel or path analysis, channel reporting, and data validation.
• Experience with dbt or another data transformation framework.
• Experience using Python or R for analysis, automation, or statistical modeling.
• Experience supporting eCommerce, retail, apparel, consumer, customer, marketing, or merchandising analytics.
• Familiarity with A/B testing, campaign measurement, attribution, forecasting, or incrementality approaches.
• Familiarity with Git or other version-control practices.

• Curious and proactive, with the confidence to ask thoughtful questions and investigate the underlying business issue.
• Highly organized and dependable, with strong ownership of deadlines, recurring deliverables, and follow-through.
• Collaborative and low-ego, with a service mindset and a commitment to helping business partners make better decisions.

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