E-commerce Analyst & Data Scientist

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Performance bonus

Hybrid work model

Medical benefits

Retirement plan

Professional development

Data-driven projects

Job summary

Placements24 is seeking an experienced E-commerce Analyst & Data Scientist to derive actionable insights from complex datasets, drive business growth, and optimize customer experiences across our e-commerce platforms. The role combines data analysis, predictive modeling, and stakeholder communications in a hybrid work setting.

The ideal candidate brings a strong quantitative background, expertise in Python or R, SQL, and data visualization tools, plus a track record in e-commerce analytics and

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 4-6 years of experience as a Data Analyst or Data Scientist, with a significant focus on e-commerce analytics.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in Python or R.
• Strong experience with data visualization tools (Tableau, Power BI, Looker).
• Familiarity with web analytics platforms (Google Analytics, Adobe Analytics).
• Solid understanding of machine learning algorithms and their application.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex data to diverse audiences.
• Experience in a hybrid work environment is beneficial.

Responsibilities

• Collect, clean, and transform data from multiple e-commerce sources.
• Perform in-depth analysis of customer behavior, sales trends, marketing campaign performance, and website usability.
• Develop and implement predictive models for churn, lifetime value, and conversion probability.
• Create insightful reports and dashboards to visualize KPIs and trends for management.
• Identify opportunities for A/B testing and provide data-driven recommendations for website and marketing optimizations.
• Collaborate with marketing, product, and operations teams to translate data insights into actionable business strategies.
• Utilize statistical techniques to analyze large datasets and identify significant patterns.
• Stay abreast of the latest data science techniques and tools in e-commerce.
• Ensure data integrity and accuracy throughout all analysis processes.
• Present findings and recommendations to technical and non-technical audiences.

Skills

SQL

Python

R

Data Analysis

Machine Learning

Data Visualization

Statistical Modeling

Communication

Education

Master's or PhD in Statistics / Mathematics / CS / Economics

Tools

Tableau

Power BI

Looker

Google Analytics

Adobe Analytics

Job description

About the Role

Our client, a fast-growing e-commerce entity located in Queenstown, Eastern Cape , is seeking a highly analytical and technically skilled E-commerce Analyst & Data Scientist. This role is critical for deriving actionable insights from complex datasets to drive business growth, optimize customer experiences, and improve marketing effectiveness. You will be responsible for collecting, analyzing, and interpreting data from various sources, building predictive models, and communicating findings to stakeholders in a clear and concise manner. The ideal candidate has a strong quantitative background, expertise in data analysis tools and techniques, and a passion for uncovering hidden patterns to inform strategic decisions. This hybrid role offers a blend of on-site collaboration and remote flexibility.

Key Responsibilities

• Collect, clean, and transform data from multiple e-commerce sources (website analytics, sales data, marketing platforms, customer databases).
• Perform in-depth analysis of customer behavior, sales trends, marketing campaign performance, and website usability.
• Develop and implement predictive models for customer churn, lifetime value, and conversion probability.
• Create insightful reports and dashboards to visualize key performance indicators (KPIs) and trends for management.
• Identify opportunities for A/B testing and provide data-driven recommendations for website and marketing optimizations.
• Collaborate with marketing, product, and operations teams to translate data insights into actionable business strategies.
• Utilize statistical techniques to analyze large datasets and identify significant patterns.
• Stay abreast of the latest data science techniques, tools, and best practices in the e-commerce industry.
• Ensure data integrity and accuracy throughout all analysis processes.
• Present findings and recommendations to technical and non-technical audiences.

Requirements

• Master's or PhD degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 4-6 years of experience as a Data Analyst or Data Scientist, with a significant focus on e-commerce analytics.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in statistical programming languages such as Python or R.
• Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
• Solid understanding of machine learning algorithms and their application.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex data to diverse audiences.
• Experience in a hybrid work environment is beneficial.

Benefits

• Competitive salary and performance bonuses.
• Hybrid work model offering flexibility.
• Comprehensive medical and retirement benefits.
• Opportunities for continuous learning and professional development.
• Engaging work on impactful data-driven projects.
• Be part of a data-centric organization in Eastern Cape focused on innovation.
• Access to advanced analytics tools and resources.