Senior E-commerce Analyst

Placements24; Queenstown; Hybrid; NZD 90,000 - 140,000; Full time

Benefits offered by this job

Bonus potential

100% remote work

Job summary

Placements24 is seeking a highly analytical Senior E-commerce Analyst to drive growth through deep insights into customer behavior, sales performance, and marketing effectiveness for a fully remote role.

The ideal candidate holds a Master’s in a quantitative field, 5+ years in data analysis (preferably e-commerce/retail), and strong skills in SQL, Python or R, plus Tableau/Power BI and Google Analytics. Excellent communication in a remote setting is essential.

Qualifications

• Master's degree in a quantitative field.
• 5+ years of data analysis experience, preferably in e-commerce/retail.
• Proficient in SQL, Python or R, and data visualization tools (Tableau, Power BI).
• Expertise in Google Analytics and web analytics.
• Strong skills in A/B testing, statistical modeling, and predictive analytics.
• Excellent ability to present complex data to non-technical audiences remotely.

Responsibilities

• Analyze e-commerce sales data, website traffic, and customer behavior to identify trends.
• Develop and maintain dashboards to track KPIs (sales, conversion, CLV).
• Analyze marketing campaign performance across channels.
• Provide data-driven recommendations to optimize website and marketing strategies.
• Collaborate with cross-functional teams to define data requirements and implement analytics solutions.
• Stay updated on industry trends in e-commerce analytics and data science.

Skills

SQL

Python

R

Tableau

Power BI

Google Analytics

A/B testing

Statistical modeling

Education

Master's degree in Statistics/Economics/CS/Data Science

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and strategic Senior E-commerce Analyst to join their dynamic team. This fully remote position will play a crucial role in driving business growth by providing deep insights into customer behavior, sales performance, and marketing effectiveness for their e-commerce operations. You will be responsible for analyzing complex datasets, identifying trends, and translating findings into actionable recommendations for stakeholders across the organization. The ideal candidate possesses exceptional analytical skills, a strong understanding of e-commerce metrics, and the ability to communicate insights clearly and effectively in a remote setting.

Key Responsibilities

• Analyze e-commerce sales data, website traffic, and customer behavior to identify key trends and opportunities.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to sales, conversion rates, and customer lifetime value.
• Conduct in-depth analysis of marketing campaign performance across various channels (paid search, social, email, etc.).
• Provide data-driven recommendations for optimizing the e-commerce website, marketing strategies, and customer experience.
• Collaborate with cross-functional teams (marketing, product, IT) to define data requirements and implement analytical solutions.
• Stay updated on industry trends and best practices in e-commerce analytics and data science.

Requirements

• Master's degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, preferably within the e-commerce or retail sector.
• Proficiency in SQL, Python or R, and data visualization tools (e.g., Tableau, Power BI).
• Expertise in web analytics tools such as Google Analytics.
• Strong understanding of A/B testing, statistical modeling, and predictive analytics.
• Excellent problem-solving skills and the ability to present complex data clearly to non-technical audiences in a remote context.

Benefits

• Highly competitive salary with bonus potential.
• 100% remote work opportunity.
• Opportunity to influence key business decisions with data insights.
• Comprehensive health and wellness benefits.
• Professional development budget and opportunities for continuous learning.