E-commerce Analyst

Placements24

United States

Hybrid

USD 26,000 - 38,000

Full time

36 hours ago
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Benefits offered by this job

Competitive salary
Bonus structure
Medical aid
Retirement fund
Generous annual leave
Professional development
Employee discounts
Hybrid model
Impactful work

Job summary

Placements24 is seeking an E-commerce Analyst to join a data-driven team in Paarl. You will collect, analyze, and interpret data on online sales, customer behavior, and market trends to guide strategic decisions.

You will build dashboards, run A/B tests, forecast key metrics, and collaborate with marketing, product, and operations to translate insights into action. A quantitative degree and proficiency in SQL, Python or R are required.

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related quantitative field.
  • Minimum of 3 years of experience as an E-commerce Analyst, Data Analyst, or BI Analyst, preferably in e-commerce.
  • Proficiency in SQL, Python, or R.
  • Strong experience with web analytics platforms (Google Analytics, Adobe Analytics).
  • Experience with data visualization tools (Tableau, Power BI).
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong understanding of e-commerce metrics, KPIs, and business drivers.
  • Ability to communicate complex data insights to diverse audiences.
  • Experience with A/B testing methodologies and analysis.
  • Hybrid work environment experience.

Responsibilities

  • Collect, clean, and analyze large datasets related to e-commerce sales, website traffic, customer behavior, and marketing campaigns.
  • Develop dashboards and reports to track KPIs and provide regular insights to stakeholders.
  • Identify trends, patterns, and anomalies in data to uncover opportunities for growth and improvements.
  • Analyze customer journeys, conversion funnels, and user behavior to identify optimization areas.
  • Perform A/B testing analysis to evaluate website changes, marketing initiatives, and new features.
  • Monitor competitor performance and market trends to provide strategic recommendations.
  • Collaborate with marketing, product, and operations to translate data insights into actionable strategies.
  • Communicate complex analytical findings clearly to technical and non-technical audiences.
  • Develop predictive models and forecasts to support business planning.
  • Stay current with data analysis tools, techniques, and best practices.

Skills

Analytical skills
Communication
Problem-solving

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS/Business Analytics or related quantitative field

Tools

SQL
Python
R
Google Analytics
Adobe Analytics
Tableau
Power BI

Job description

About the Role

Our client, a leading innovator in the e-commerce space, is seeking a detail-oriented and analytical E-commerce Analyst to join their data-driven team. This role is crucial for providing insights into online sales performance, customer behavior, and market trends to inform strategic decision-making. You will be responsible for collecting, analyzing, and interpreting complex data sets to identify opportunities for growth, optimization, and improved customer experience. This is an exceptional opportunity to contribute to the strategic direction of a dynamic online business. The role is based in Paarl, Western Cape , and offers a hybrid work model, allowing for a blend of focused remote work and collaborative team sessions in the office.

Key Responsibilities
  • Collect, clean, and analyze large datasets related to e-commerce sales, website traffic, customer behavior, and marketing campaigns.
  • Develop dashboards and reports to track key performance indicators (KPIs) and provide regular insights to stakeholders.
  • Identify trends, patterns, and anomalies in data to uncover opportunities for sales growth and operational improvements.
  • Conduct in-depth analysis of customer journeys, conversion funnels, and user behavior to identify areas for optimization.
  • Perform A/B testing analysis to evaluate the effectiveness of website changes, marketing initiatives, and new features.
  • Monitor competitor performance and market trends to provide strategic recommendations.
  • Collaborate with marketing, product, and operations teams to translate data insights into actionable strategies.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
  • Develop predictive models and forecasts to support business planning.
  • Stay current with advancements in data analysis tools, techniques, and e-commerce analytics best practices.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
  • Minimum of 3 years of experience as an E-commerce Analyst, Data Analyst, or Business Intelligence Analyst, preferably with a focus on e-commerce.
  • Proficiency in data analysis tools and languages such as SQL, Python, or R.
  • Strong experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics).
  • Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong understanding of e-commerce metrics, KPIs, and business drivers.
  • Ability to communicate complex data insights effectively to diverse audiences.
  • Experience with A/B testing methodologies and analysis.
  • Ability to work effectively in a hybrid environment, demonstrating both independent work and collaborative skills.
Benefits
  • Competitive salary commensurate with experience and analytical expertise.
  • Performance-based bonus structure.
  • Comprehensive medical aid and retirement fund contributions.
  • Generous annual leave and paid time off.
  • Opportunities for professional development, certifications, and training.
  • Employee discounts on Our client's products.
  • A collaborative and intellectually stimulating work environment with a hybrid model.
  • The chance to make a significant impact on business strategy through data.
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