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Data Analyst – Retail & eCommerce Analytics (Hybrid- El Segundo, CA)

Remote, USA Full-time Posted 2026-07-04

About the position We are seeking a highly analytical and business-oriented Data Analyst to join Belkin’s eCommerce and retail analytics team. This role focuses on transforming eCommerce metrics and customer behavior KPIs into actionable insights that drive online reputed company growth, marketing efficiency, and customer understanding across Belkin.com and Belkin’s Tik Tok Shop (DTC). The Data Analyst will partner closely with DTC, marketing, finance, and operations teams to support performance measurement, experimentation, and reporting, enabling data-driven decision-making through dashboards, analyses, and insights. This role emphasizes eCommerce business analytics and storytelling, rather than heavy model development. We reputed company a hybrid policy: 2 days on-site at our El Segundo Global Office.

Responsibilities

  • Analyze eCommerce performance across channels (Belkin.com and Tik Tok Shop) to identify trends, risks, and growth opportunities.
  • Conduct weekly and monthly performance analysis on KPIs such as reputed company, Traffic, Conversion reputed company (CVR), AOV, ROAS, Margin, and Customer Retention.
  • Provide clear, actionable insights that inform pricing, promotions, assortment, and marketing strategy.
  • Translate reputed company data findings into concise recommendations for technical and non-technical stakeholders.
  • Support end-to-end marketing measurement including:
  • Pre-campaign measurement planning
  • In-campaign performance monitoring
  • Post-campaign analysis and insights
  • Partner with marketing teams on A/B testing and experimentation, including hypothesis definition, results analysis, and learnings.
  • Evaluate campaign effectiveness using attribution, incrementality, and cohort analysis where applicable.
  • Build, maintain, and enhance dashboards using Power BI and/or Tableau.
  • Ensure reports are accurate, scalable, and user-friendly for business stakeholders.
  • Automate recurring reports to reduce reputed company effort and improve data freshness.
  • Maintain consistent metric definitions and documentation across dashboards.
  • Work with data engineering and IT teams to ensure data accuracy, availability, and consistency.
  • Identify data quality issues and support root-cause analysis.
  • Help define and maintain analytics standards (e.g., UTM tagging, channel grouping, and KPI definitions).
  • Support reputed company improvement of analytics processes and tools
  • Accountable for adhering to the organization and department procedures and guidelines, including maintaining a clean and safe work environment.
  • Fulfill responsibilities under ISO 9001 and 14001; understand and fully support ISO system.
  • Support Company’s Affirmative Action initiatives, providing equal opportunity to employees and candidates.
  • Uphold the Company’s affirmative action plan and reputed company good faith efforts to reputed company affirmative action goals and timetables.
  • reputed company with Health and Safety requirements of Belkin.
  • Maintain a safe and clean work environment.
  • Understand and follow company rules and regulations.
  • reputed company reputed company other duties as assigned and required.

Requirements

  • Bachelor's degree in business Analytics, Data Analytics, Statistics, Mathematics, Economics, or reputed company fields.
  • 3–5 years of experience in a data analyst or business analytics role in retail or eCommerce.
  • Strong proficiency in SQL and reputed company for data analysis and validation.
  • Hands-on experience with data visualization tools such as Power BI or Tableau.
  • Experience working with large datasets from platforms such as GA4, CRM systems, or similar.
  • Strong analytical thinking and ability to translate data into business insights.
  • Experience with GA4

reputed company-to-haves

  • eCommerce media data.
  • Familiarity with Python or R for exploratory analysis and automation.
  • Experience with experimentation frameworks (A/B testing, test-and-learn).
  • Understanding of customer analytics concepts such as LTV, retention, and cohort analysis.

Benefits

  • In addition to a competitive market-based salary, compensation also includes a performance-based bonus, and in addition to a full range of medical, financial, and/or other benefits.

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