Remote Retail Analyst: Drive Growth with Data

Placements24; Canterbury; Hybrid; NZD 85,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Professional development

Flexible hours

Job summary

Placements24 is seeking a highly analytical Remote Retail Analyst to assess sales performance, customer behavior, and market trends from a remote location. You will build dashboards, monitor KPIs, and deliver actionable insights that inform merchandising, pricing, and promotional strategies.

Working with marketing, operations, and analytics teams, you will translate data into clear recommendations, communicate findings to stakeholders, and help drive growth across channels while maintaining data

Qualifications

• Proven experience as a Retail Analyst or similar analytical role.
• Strong proficiency in data analysis tools such as Excel, SQL, and BI software.
• Excellent analytical, quantitative, and problem-solving skills.
• Ability to work independently and manage multiple projects in a remote work environment.
• Strong communication and presentation skills.
• Understanding of retail operations and market dynamics.

Responsibilities

• Analyze sales data, inventory levels, and market trends to identify key insights and opportunities.
• Develop reports and dashboards to track retail performance metrics and KPIs.
• Provide recommendations to improve sales strategies, merchandising, and customer engagement.
• Monitor competitor activities and market dynamics to inform strategic decisions.
• Collaborate with marketing, operations, and merchandising teams to support initiatives.
• Present findings and recommendations clearly to stakeholders in a remote setting.

Skills

Excel

SQL

BI tools

Tools

Power BI

Tableau

Job description

Placements24 is seeking a highly analytical Remote Retail Analyst to assess sales performance, customer behavior, and market trends from a remote location. You will build dashboards, monitor KPIs, and deliver actionable insights that inform merchandising, pricing, and promotional strategies.

Working with marketing, operations, and analytics teams, you will translate data into clear recommendations, communicate findings to stakeholders, and help drive growth across channels while maintaining data