E-commerce Data Scientist — Hybrid Growth Analytics

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

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