Senior E-commerce Analyst & Data Scientist

Placements24; Kimberley; Hybrid; CAD 75,000 - 109,000; Full time

Benefits offered by this job

Hybrid work arrangement

Performance bonuses

Health & retirement benefits

Professional development support

Job summary

Placements24 is seeking a Senior E-commerce Analyst & Data Scientist to join the Kimberley, Northern Cape-based data-driven team. This role uncovers insights from complex datasets to optimize ecommerce performance, drive customer acquisition, and enhance the overall customer experience.

You will analyze sales data, website traffic, and marketing campaigns; build predictive models; and deliver dashboards to stakeholders.

Qualifications

• Master's or PhD in a quantitative field required.
• 7+ years in data analysis/data science with e-commerce focus.
• Proficiency in Python or R and SQL.

Responsibilities

• Analyze ecommerce sales, behavior, and campaigns.
• Develop predictive models and ML algorithms.
• Create dashboards to visualize KPIs for stakeholders.
• Identify CRO opportunities and data-backed recommendations.
• Lead customer segmentation and channel analysis.
• Design and analyze A/B tests with cross-functional teams.
• Provide strategic recommendations to senior management based on data analysis.

Skills

Python

R

SQL

Tableau

Power BI

Google Analytics

A/B testing

Data storytelling

Problem solving

Education

Master's or PhD in quantitative field

Tools

Tableau

Power BI

SQL

Cloud platforms

Job description

About the Role

Our client is seeking a highly skilled Senior E-commerce Analyst & Data Scientist to join their data-driven team in Kimberley, Northern Cape. This role is critical for uncovering actionable insights from complex datasets to optimize e-commerce performance, drive customer acquisition, and enhance the overall customer experience. You will be responsible for analyzing sales data, website traffic, customer behavior, and marketing campaign effectiveness to identify trends, predict future outcomes, and provide strategic recommendations. The ideal candidate possesses advanced analytical and statistical modeling skills, proficiency in data visualization tools, and a deep understanding of the e-commerce landscape. You will collaborate closely with marketing, product, and operations teams to translate data-driven insights into impactful business strategies. This is an exceptional opportunity for a seasoned analyst to make a significant impact on the strategic direction of our client's online business in Kimberley. We are looking for a proactive and curious individual who is passionate about leveraging data to solve complex business problems and drive measurable growth.

Key Responsibilities

• Analyze large datasets related to e-commerce sales, customer behavior, website performance, and marketing campaigns.
• Develop and implement statistical models and machine learning algorithms to predict trends, customer lifetime value, and churn.
• Create comprehensive reports and dashboards to visualize key performance indicators (KPIs) and insights for stakeholders.
• Identify opportunities for conversion rate optimization (CRO) and provide data-backed recommendations.
• Conduct deep-dive analyses into customer segmentation, purchasing patterns, and marketing channel effectiveness.
• Collaborate with cross-functional teams to define data requirements and design A/B tests.
• Provide strategic recommendations to senior management based on data analysis to drive business growth and profitability.
• Ensure data integrity and accuracy across all analytical processes.
• Stay current with advancements in data science, analytics tools, and e-commerce best practices.
• Mentor junior analysts and contribute to building a data-centric culture within the organization.

Requirements

• Master's degree or PhD in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 7 years of experience in data analysis and data science, with a strong focus on e-commerce.
• Proven experience in building predictive models and applying statistical techniques to solve business problems.
• Proficiency in programming languages such as Python or R, and SQL for data querying.
• Expertise in data visualization tools (e.g., Tableau, Power BI) and statistical software.
• Strong understanding of e-commerce metrics, customer journey mapping, and web analytics tools (e.g., Google Analytics).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical audiences.
• Experience with big data technologies and cloud platforms is a plus.
• Ability to work independently and manage multiple projects in a fast-paced environment.
• Familiarity with A/B testing frameworks.

Benefits

• Highly competitive salary package with potential for performance-based bonuses.
• Hybrid work arrangement offering flexibility.
• Opportunity to lead data analytics and drive strategy for a key e-commerce player in Kimberley, Northern Cape.
• Support for professional development, including advanced training and conferences.
• Comprehensive health and retirement benefits.
• A collaborative and intellectually stimulating work environment.
• Make a significant data-driven impact on our client's business success.