Remote Retail Data Analyst - WhatJobs Direct

Placements24; Soweto; Hybrid; ZAR 350,000 - 700,000; Full time

Job summary

Placements24 is seeking a highly analytical Remote Retail Data Analyst to transform large retail datasets into actionable business insights. You will build dashboards, forecast sales, and influence decisions across sales, marketing, and operations from a fully remote setting.

The ideal candidate has 3–5 years in data analytics, strong SQL skills, and proficiency in Python or R, plus experience with Tableau or Power BI to drive data-driven strategies.

Qualifications

• Bachelor's degree in a quantitative field.
• 3–5 years experience as a Data Analyst, preferably in retail.
• Proficient in SQL for data extraction and manipulation.
• Strong data visualization skills (Tableau/Power BI).
• Experience with Python or R for data analysis.
• Excellent analytical and communication skills.

Responsibilities

• Collect, process, and analyze large volumes of retail data from diverse sources.
• Develop and maintain dashboards/reports to track KPIs.
• Identify trends and correlations in sales, customer, and operations data.
• Provide actionable insights to support strategic decisions.
• Conduct ad-hoc analyses to answer business questions.
• Develop predictive models for sales forecasting and inventory needs.
• Collaborate with IT and data engineering to ensure data quality.
• Present findings to management and cross-functional teams.

Skills

SQL

Data visualization

Python or R

Retail analytics

Statistical analysis

Education

Bachelor's degree in Statistics/Mathematics/Economics/CS/Data Science

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a highly analytical and insightful Remote Retail Data Analyst to join their expanding team. This role is essential for leveraging data to drive strategic decision-making across all facets of the retail business, from sales and marketing to operations and inventory management. The ideal candidate will possess strong quantitative skills, expertise in data mining, and a deep understanding of retail analytics. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets to uncover trends, identify opportunities, and provide actionable recommendations to various departments. As a fully remote position, you will collaborate with stakeholders across the organization, presenting findings and insights clearly and effectively. We are looking for a proactive individual who can translate complex data into understandable business insights, contributing to informed strategies that enhance performance and profitability for our client. This is an exciting opportunity to apply your analytical prowess to the dynamic retail sector, working from the convenience of your home and influencing key business decisions. The role demands a blend of technical data skills and a solid grasp of retail dynamics to provide strategic guidance.

Key Responsibilities

• Collect, process, and analyze large volumes of retail data from various sources.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs).
• Identify trends, patterns, and correlations in sales, customer, and operational data.
• Provide actionable insights and recommendations to support strategic business decisions.
• Conduct ad-hoc data analysis to address specific business questions.
• Develop predictive models for sales forecasting, customer behavior, and inventory needs.Collaborate with IT and data engineering teams to ensure data quality and accessibility.
• Present findings and insights to management and cross-functional teams.
• Stay updated on the latest data analysis techniques and retail industry trends.
• Ensure data integrity and accuracy in all reporting and analysis.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 3-5 years of experience as a Data Analyst, preferably in the retail industry.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Expertise in statistical analysis and modeling techniques.
• Proficiency in programming languages such as Python or R for data analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills to convey complex data insights.
• Ability to work independently and manage multiple projects in a remote setting.
• Experience with retail-specific data (sales, customer, inventory, loyalty programs).

Benefits

• This is a fully remote position offering excellent flexibility and work-life integration.
• Our client offers a competitive salary and a comprehensive benefits package, including health insurance, retirement plans, and opportunities for professional development.

Join a data-driven organization that values analytical thinking and continuous improvement.