Senior E-commerce Analyst & Data Scientist

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Highly competitive salary

Hybrid work model

Career development opportunities

Access to cutting-edge tools

Collaborative analytics team

Job summary

Placements24 in Randburg, Gauteng, seeks a Senior E-commerce Analyst & Data Scientist to drive data-led decisions across e-commerce platforms. You will build predictive models, create dashboards, and translate insights for marketing, product, and operations teams.

The ideal candidate has a strong quantitative background, 7+ years in data analysis and data science, proficiency in Python or R, SQL, and experience with ML, A/B testing, and data visualization tools. This is a hybrid role.

Qualifications

• Advanced degree in a quantitative field with a strong research background.
• 7+ years in data analysis and data science with e-commerce exposure.
• Proven experience building and deploying predictive models and ML algorithms.

Responsibilities

• Analyze large datasets to identify trends in customer behavior and sales.
• Develop predictive models to forecast demand and optimize marketing spend.
• Design and conduct A/B and multivariate tests for website changes.
• Create dashboards to visualize KPIs and present insights to stakeholders.
• Collaborate with marketing, product, engineering and operations to define analytical requirements.
• Mentor junior analysts and ensure data integrity across processes.

Skills

Python

SQL

R

Machine Learning

A/B Testing

Data Visualization

Pandas

Communication

Education

Master's or PhD in Data Science/Statistics/CS

Tools

TensorFlow

Scikit-learn

Tableau/Power BI

Git

Job description

About the Role

Our client, a prominent player in the e-commerce sector, is seeking a highly skilled and experienced Senior E-commerce Analyst & Data Scientist to join their dynamic team in Randburg, Gauteng . This role is critical for leveraging data to drive strategic decisions, optimize customer experiences, and maximize revenue across all e-commerce platforms. You will be responsible for analyzing complex datasets, developing predictive models, and translating insights into actionable recommendations for marketing, product development, and operations. The ideal candidate possesses a strong quantitative background, exceptional analytical abilities, and a proven track record in e-commerce analytics. This position offers a hybrid work model, blending the benefits of in-office collaboration with remote flexibility. If you are passionate about uncovering insights from data and driving business growth through advanced analytics, this is the perfect opportunity for you in Randburg, Gauteng .

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and opportunities related to customer behavior, sales, marketing performance, and website analytics.
• Develop and implement advanced statistical models and machine learning algorithms to predict customer behavior, forecast demand, and optimize marketing spend.
• Design and conduct A/B tests and multivariate tests to evaluate the impact of website changes, marketing campaigns, and product strategies.
• Create comprehensive dashboards and reports to visualize key performance indicators (KPIs) and present findings to stakeholders.
• Collaborate with cross-functional teams (marketing, product, engineering, operations) to understand business needs and translate them into analytical requirements.
• Provide data-driven recommendations for improving customer segmentation, personalization, conversion rates, and customer lifetime value.
• Identify and track key metrics related to e-commerce performance and business objectives.
• Stay abreast of the latest advancements in data science, machine learning, and e-commerce analytics tools and techniques.
• Mentor junior analysts and contribute to the development of the data analytics function within the company.
• Ensure data integrity and accuracy across all analytical processes.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or a related quantitative field.
• Minimum of 7 years of experience in data analysis and data science, with a significant focus on e-commerce.
• Proven experience in building and deploying predictive models and machine learning algorithms (e.g., regression, classification, clustering).
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Expertise in SQL and experience working with large databases.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• In-depth understanding of e-commerce metrics, KPIs, and business drivers.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences in Randburg, Gauteng .
• Experience with A/B testing and experimental design is essential.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Hybrid work model offering flexibility and work-life balance.
• Opportunity to work on challenging and impactful data science projects within the e-commerce domain.
• Be part of a collaborative and innovative analytical team.
• Access to cutting-edge tools and technologies.
• Professional development and opportunities for career advancement.