Senior E-commerce Analyst

Placements24; Kimberley; Hybrid; CAD 60.000 - 82.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Professional development opportunities

Comprehensive benefits

Access to analytics tools

Collaborative environment

Zusammenfassung

Placements24 is seeking a Senior E-commerce Analyst to join the data and analytics team in Kimberley, Northern Cape. The role focuses on analyzing website performance, driving optimizations, and delivering data-driven insights across marketing, product, and IT collaboration.

You will develop dashboards, perform A/B testing, and mentor junior analysts while staying current with analytics best practices in a hybrid work model.

Qualifikationen

• Master's degree or equivalent in Statistics, Economics, Mathematics, Computer Science, or related quantitative field.
• 6+ years of data analysis experience with a focus on e-commerce analytics.
• Expertise in web analytics tools (GA/Adobe Analytics).
• Advanced SQL skills for data extraction and manipulation.
• Experience with data visualization tools (Tableau/Power BI).
• Strong statistical modeling and A/B testing knowledge.
• Proficiency in R or Python is a significant advantage.
• Strong communication and presentation skills.

Aufgaben

• Analyze e-commerce website performance including traffic, conversion rates, funnels, and customer journeys.
• Develop and maintain dashboards and reports to track KPIs across the e-commerce business.
• Identify trends and insights from large datasets to inform strategy.
• Perform A/B testing analysis and recommend optimizations.
• Analyze customer segmentation and loyalty to inform marketing personalization.
• Collaborate with marketing, product, and IT to define data requirements and ensure accuracy.
• Present findings clearly to stakeholders, verbally and in writing.
• Stay up-to-date with industry best practices in e-commerce analytics and data science.
• Mentor junior analysts and contribute to analytics function development.

Kenntnisse

E-commerce analytics

SQL

Web analytics

A/B testing

Data visualization

Statistical programming (R/Python)

Communication

Ausbildung

Master's degree or equivalent in a quantitative field

Tools

Google Analytics

Adobe Analytics

Tableau

Power BI

Jobbeschreibung

About the Role

Our client, a prominent online retailer, is seeking an experienced Senior E-commerce Analyst to join their data and analytics team in Kimberley, Northern Cape.

Key Responsibilities

• Conduct in-depth analysis of e-commerce website performance, including traffic, conversion rates, sales funnels, and customer journeys.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) across the e-commerce business.
• Identify trends, patterns, and insights from large datasets to inform business strategy and decision-making.
• Perform A/B testing analysis and provide recommendations for website and campaign optimization.
• Analyze customer segmentation, behavior, and loyalty to inform marketing and personalization efforts.
• Collaborate with marketing, product, and IT teams to define data requirements and ensure data accuracy.
• Present findings and recommendations to stakeholders in a clear and concise manner, both verbally and in writing.
• Stay abreast of industry best practices in e-commerce analytics and data science.
• Mentor junior analysts and contribute to the development of the analytics function.

Requirements

• Master's degree or equivalent experience in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in data analysis, with a strong focus on e-commerce analytics.
• Expert proficiency in web analytics tools such as Google Analytics, Adobe Analytics, or similar.
• Advanced skills in SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling and A/B testing methodologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proficiency in statistical programming languages (e.g., R, Python) is a significant advantage.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Hybrid work model offering flexibility and work-life balance in Kimberley.
• Significant opportunities for professional growth and career advancement.
• Access to advanced analytics tools and technologies.
• Collaborative and intellectually stimulating work environment.
• Contribution towards professional development and certifications.