Remote E-commerce Data Analyst

Placements24

Durban

Hybrid

ZAR 420,000 - 650,000

Full time

3 days ago
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Benefits offered by this job

Fully remote work
Competitive salary
Professional development

Job summary

Placements24 seeks a highly analytical Remote E-commerce Data Analyst to join a growing team. You will collect, clean, and analyze large datasets from website traffic, sales, and marketing campaigns to uncover insights that drive growth.

You will build dashboards in Tableau, Power BI, or Looker; perform customer segmentation and lifetime value analysis; and present actionable recommendations to stakeholders.

Qualifications

  • Bachelor's degree in a quantitative field (Data Science, Statistics, Economics, CS)
  • 3+ years of data analysis experience, preferably in e-commerce or digital marketing
  • Proficiency in SQL for data extraction and manipulation
  • Experience with data visualization tools (Tableau, Power BI, Looker)
  • Expertise in statistical analysis and data modeling techniques
  • Familiarity with web analytics platforms like Google Analytics
  • Strong analytical and problem-solving skills; ability to communicate complex findings clearly
  • Experience with Python or R is a plus
  • Self-starter with the ability to work independently in a remote setting
  • Must be based in South Africa for this fully remote role

Responsibilities

  • Collect, clean, and analyze large datasets related to e-commerce operations, customer behavior, sales, and marketing initiatives
  • Develop and maintain dashboards and reports to track KPIs and trends
  • Identify patterns and anomalies to uncover actionable insights for business improvement
  • Conduct deep-dive analyses into customer segmentation and lifetime value
  • Analyze marketing campaigns across SEO, SEM, social, and email channels for ROI
  • Collaborate with marketing, product, and sales to support data needs
  • Develop predictive models to forecast sales and churn
  • Present findings clearly to technical and non-technical audiences
  • Ensure data accuracy with quality checks and validation processes
  • Stay updated with data analysis trends and e-commerce analytics

Skills

SQL
Data visualization
Statistical analysis
Python
R
Data modeling
Analytical thinking
Communication

Education

Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related quantitative field

Tools

Tableau
Power BI
Looker
Google Analytics

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote E-commerce Data Analyst to join their growing team. This is a fantastic fully remote opportunity for a data enthusiast passionate about uncovering insights to drive e-commerce success. You will be responsible for collecting, processing, and analyzing vast amounts of data from various sources, including website traffic, sales, customer behavior, and marketing campaigns. The insights you generate will be critical in informing strategic decisions, optimizing user experience, and improving overall business performance. The ideal candidate possesses strong quantitative skills, a deep understanding of e-commerce metrics, and proficiency in data visualization tools. You will play a key role in translating complex data into clear, actionable recommendations for stakeholders across different departments. This role offers the chance to work with a dynamic, forward-thinking company that values data-driven decision-making and embraces remote work flexibility. If you are driven by curiosity and eager to make a tangible impact on an online business's growth, this is the perfect role for you. You will be empowered to explore data and present findings that shape the future of our client's digital strategy.

Key Responsibilities
  • Collect, clean, and analyze large datasets related to e-commerce operations, customer behavior, sales performance, and marketing initiatives.
  • Develop and maintain dashboards and reports using data visualization tools to track key performance indicators (KPIs) and trends.
  • Identify patterns, trends, and anomalies in data to uncover actionable insights and opportunities for business improvement.
  • Conduct deep-dive analyses into customer segmentation, purchase behavior, and customer lifetime value.
  • Analyze the performance of marketing campaigns across various channels (SEO, SEM, social media, email) to measure effectiveness and ROI.
  • Collaborate with marketing, product, and sales teams to understand their data needs and provide relevant analytical support.
  • Develop predictive models to forecast sales, customer churn, and other key business metrics.
  • Present findings and recommendations clearly and concisely to both technical and non-technical audiences.
  • Ensure data accuracy and integrity by implementing data quality checks and validation processes.
  • Stay up-to-date with the latest trends and best practices in data analysis and e-commerce analytics.
Requirements
  • Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
  • Minimum of 3 years of experience in data analysis, preferably within the e-commerce or digital marketing sector.
  • Proficiency in SQL for data extraction and manipulation.
  • Strong experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Expertise in statistical analysis and data modeling techniques.
  • Familiarity with web analytics platforms like Google Analytics.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Ability to communicate complex findings in a clear and understandable manner.
  • Experience with Python or R for data analysis is a plus.
  • Self-starter with the ability to work independently in a remote setting.
  • Must be based in **South Africa** for this fully remote role.
Benefits
  • Fully remote working arrangement.
  • Competitive salary.
  • Opportunity to make a significant impact on business strategy through data insights.
  • Work with a talented and supportive team.
  • Professional development and training opportunities.
  • Flexible working hours.
  • Exposure to diverse e-commerce data challenges.
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