Junior Data Analyst

Role overview

This part-time remote Junior Data Analyst position supports smarter decisions across salon operations and marketing for Peluqueria y Salon de Belleza Nuevas Tendencias. The role centers on collecting, cleaning, and arranging information from booking systems, point-of-sale software, and marketing channels so the team can better understand performance and customer behavior.

Core work

You will help build straightforward reports and dashboards covering client activity, service results, and sales patterns. The position also involves turning data into simple visual summaries, sharing findings with management in easy-to-understand language, and helping the team use insights to improve efficiency and the customer experience.

Additional responsibilities

In addition to analysis and reporting, the role includes recording data workflows, keeping basic data models organized, and working with internal team members to support ongoing process improvements.

Qualifications

• Solid analytical ability to spot patterns, interpret information, and support practical, data-backed recommendations.
• Some hands-on experience with data cleaning, combining datasets, and preparing reports using spreadsheets or analytics tools.
• Working understanding of statistics concepts such as averages, distributions, and simple correlations for basic performance analysis.
• Familiarity with data modeling basics, including arranging information into tables and relationships for analysis and reporting.
• Clear written and spoken communication skills for explaining findings to teammates without technical backgrounds.
• Comfort using Excel or Google Sheets; exposure to BI tools like Power BI, Tableau, or Looker Studio is an advantage.
• Ability to stay productive independently in a remote setup, prioritize tasks, and manage a part-time workload.
• Interest in the beauty, wellness, or retail space, along with a willingness to learn salon operations and customer trends.
• Associate’s or bachelor’s degree in a quantitative discipline such as Data Analytics, Statistics, Mathematics, Economics, or Computer Science, or equivalent practical experience.

Eligibility

Candidates who meet the above qualification profile and can work part-time in a remote environment from the United States are suitable for this role.

Compensation and work details

The source does not specify a salary or stipend. No vacancy count, start date, or application deadline was provided.