Dat Insights Analys （Remote，Entry-Level）

Role Description This part-time, remote Data Insights Analyst (Entry-Level) role at Le Profit focuses on supporting data-driven decision-making across the organization. The analyst will collect, clean, and validate data from various internal and external sources, ensuring accuracy and consistency. Day-to-day responsibilities include building basic reports and dashboards, performing exploratory data analysis, and summarizing key trends and patterns. The role will work closely with senior analysts and business stakeholders to interpret findings, prepare clear visualizations, and translate data into actionable recommendations. The analyst will document processes, maintain data-related records, and continuously learn new tools and techniques to improve analysis quality and efficiency.

Qualifications

Candidates should possess foundational skills in data analysis and statistics, including comfort with interpreting datasets, understanding basic statistical concepts, and performing exploratory analyses. Candidates should possess skills in working with spreadsheets and data tools, such as Excel or Google Sheets, and have exposure to data visualization platforms or business intelligence tools. Candidates should possess basic technical skills, including familiarity with at least one programming or query language (for example, SQL, Python, or R) and the ability to learn new analytical tools. Candidates should possess strong problem-solving and critical-thinking skills, with the ability to identify patterns, investigate data issues, and propose data-informed solutions. Candidates should possess clear written and verbal communication skills, including the ability to present findings in a simple, structured manner for non-technical audiences. Candidates should possess effective time management and organizational skills, with the ability to prioritize tasks and work independently in a remote, part-time environment. Relevant education such as a degree or coursework in data analytics, statistics, mathematics, economics, business, computer science, or a related field is beneficial. Curiosity about business performance, willingness to receive mentoring, and interest in building a career in analytics or business intelligence are highly valued.