Remote Retail Data Analyst

Placements24; Newlands; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Flexible hours

Full remote work

Health, dental, and vision insurance

Generous paid time off

Job summary

Placements24 is seeking a sharp and analytical Remote Retail Data Analyst to deliver insights on sales performance and customer behavior. You will collect, clean, and interpret large retail datasets, developing dashboards and reports that track KPIs and inform strategic decisions across marketing, sales, and operations.

The ideal candidate has strong quantitative skills, experience with SQL, Python, R, Tableau or Power BI, and excellent communication to convey findings to diverse stakeholders in

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, Mathematics, Economics).
• Proven Data Analyst experience, preferably in retail.
• Proficiency with data analysis and visualization tools: SQL, Python, R, Tableau, Power BI.
• Strong analytical, problem-solving and critical thinking skills.

Responsibilities

• Collect, process, and analyze large volumes of retail data from multiple sources.
• Develop and maintain dashboards and reports to track KPIs.
• Identify trends and insights related to sales, customer behavior, and market dynamics.
• Provide actionable recommendations to improve sales, optimize inventory and engagement.
• Collaborate with cross-functional teams to meet data needs and provide analytical support.
• Stay updated on industry best practices and new data analysis techniques.

Skills

Analytical thinking

Communication

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Economics

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a sharp and analytical Remote Retail Data Analyst to provide key insights into sales performance, customer behavior, and operational efficiency. This fully remote role will involve collecting, cleaning, and interpreting large datasets to identify trends, opportunities, and potential challenges within the retail environment. Your analysis will directly inform strategic decision-making across various departments, including marketing, sales, and operations. The ideal candidate possesses strong quantitative skills, expertise in data analysis tools, and the ability to communicate complex findings clearly to diverse stakeholders.

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 insights related to sales, customer behavior, and market dynamics.
• Provide actionable recommendations to improve sales, optimize inventory, and enhance customer engagement.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Stay abreast of industry best practices and emerging data analysis techniques.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Proven experience as a Data Analyst , preferably within the retail industry.
• Proficiency in data analysis and visualization tools such as SQL, Python, R, Tableau, or Power BI.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication skills for presenting findings to both technical and non-technical audiences in a remote setting.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Full remote work flexibility with adaptable hours.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and company holidays.
• Access to cutting-edge analytical tools and professional development resources.