E-commerce Analytics Manager

Placements24

Kimberley

Hybrid

CAD 76,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Performance incentives
Hybrid work
Leadership analytics

Job summary

Placements24 is seeking an experienced E-commerce Analytics Manager to transform data into strategic business insights for an online retailer. The role focuses on building robust data collection, KPIs, and dashboards, enabling data-driven decisions across marketing, product, and operations.

The ideal candidate will have 5+ years in data analysis within e-commerce, strong SQL, Python or R, and proficiency in Tableau/Power BI.

Qualifications

  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related quantitative field.
  • Minimum of 5 years of experience in data analysis, preferably within an e-commerce environment.
  • Proven expertise in web analytics tools (e.g., Google Analytics, Adobe Analytics).
  • Strong proficiency in data manipulation and analysis using SQL; experience with Python or R is highly desirable.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard creation.
  • Excellent understanding of e-commerce metrics, customer behavior, and marketing principles.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Located in or able to commute to Kimberley, Northern Cape, and comfortable with a hybrid work model.

Responsibilities

  • Develop and maintain a robust framework for e-commerce data collection, analysis, and reporting.
  • Define key performance indicators (KPIs) and metrics to track website performance, customer behavior, and business impact.
  • Conduct deep-dive analyses into customer journeys, sales trends, marketing campaign effectiveness, and website performance.
  • Utilize advanced analytical techniques and tools (e.g., SQL, Python, R, Tableau, Google Analytics) to extract meaningful insights.
  • Translate complex data findings into clear, concise, and actionable recommendations for stakeholders across the business.
  • Collaborate with marketing, product, and operations teams to support data-driven decision-making.
  • Build and manage dashboards and reports to visualize key metrics and trends.
  • Identify opportunities for website optimization, personalization, and strategic improvements based on data analysis.
  • Mentor and guide junior analysts on the team.

Education

Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related quantitative field

Tools

Google Analytics
Adobe Analytics
SQL
Python
R
Tableau
Power BI

Job description

About the Role

Our client, a leading online retailer, is looking for a data-savvy and strategic E-commerce Analytics Manager to join their team in Kimberley, Northern Cape. This role is essential for transforming raw data into actionable business insights that drive e-commerce growth and optimize customer experiences. You will be responsible for overseeing the collection, analysis, and interpretation of e-commerce data, developing key performance indicators (KPIs), and providing strategic recommendations to various departments including marketing, product, and operations. The ideal candidate possesses strong analytical and technical skills, extensive experience with analytics tools, and a deep understanding of the e-commerce landscape. Join our client in Kimberley to lead their data analytics efforts and significantly influence their online strategy and success. This hybrid role offers a dynamic work environment with the flexibility to work remotely part of the week.

Key Responsibilities
  • Develop and maintain a robust framework for e-commerce data collection, analysis, and reporting.
  • Define key performance indicators (KPIs) and metrics to track website performance, customer behavior, and business impact.
  • Conduct deep-dive analyses into customer journeys, sales trends, marketing campaign effectiveness, and website performance.
  • Utilize advanced analytical techniques and tools (e.g., SQL, Python, R, Tableau, Google Analytics) to extract meaningful insights.
  • Translate complex data findings into clear, concise, and actionable recommendations for stakeholders across the business.
  • Collaborate with marketing, product, and operations teams to support data-driven decision-making.
  • Build and manage dashboards and reports to visualize key metrics and trends.
  • Identify opportunities for website optimization, personalization, and strategic improvements based on data analysis.
  • Mentor and guide junior analysts on the team.
Requirements
  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
  • Minimum of 5 years of experience in data analysis, preferably within an e-commerce environment.
  • Proven expertise in web analytics tools (e.g., Google Analytics, Adobe Analytics).
  • Strong proficiency in data manipulation and analysis using SQL; experience with Python or R is highly desirable.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and dashboard creation.
  • Excellent understanding of e-commerce metrics, customer behavior, and marketing principles.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Located in or able to commute to Kimberley, Northern Cape, and comfortable with a hybrid work model.
Benefits
  • Competitive salary and performance-based incentives.
  • Hybrid work model providing flexibility and work-life balance.
  • Opportunity to lead analytics strategy for a key player in e-commerce.
  • Continuous learning and professional development opportunities.
  • A collaborative and data-driven work culture.
  • Comprehensive benefits package.
  • Contribute to critical business decisions through data insights.
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