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 Revenue, Traffic, Conversion Rate (CVR), AOV, ROAS, Margin, and Customer Retention
Provide clear, actionable insights that inform pricing, promotions, assortment, and marketing strategy
Translate complex 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 manual 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 continuous improvement of analytics processes and tools

Requirements

Bachelor's degree in business Analytics, Data Analytics, Statistics, Mathematics, Economics, or related fields
3–5 years of experience in a data analyst or business analytics role in retail or eCommerce
Strong proficiency in SQL and Excel 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
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

Performance-based bonus
Full range of medical, financial, and/or other benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLExceldata visualizationPower BITableauPythonRA/B testingdata analysiscustomer analytics

Soft Skills

analytical thinkingcommunicationcollaborationproblem-solvingattention to detailactionable insightstranslating data findingsroot-cause analysiscontinuous improvementstakeholder engagement