Part Time Business Data Assistant

Responsibilities

• Supplement and update the basic information in our databases.
• Assist in cleaning up and classifying primary data to ensure accuracy and usability.
• Serve as a programmer in data analysis projects utilizing Python-based tools.
• Adjust and manipulate data to meet specific analytical needs.
• Integrate historical data and establish separate databases using Microsoft Access.
• Assist analysts in designing logical principles for data processing and analysis.
• Research external data sources that align with the analyst’s requirements.
• Support internal data analysis with market benchmarks and economic environment insights.
• Assist analysts in building models for market forecasting, including revenue and pricing predictions.
• Utilize programming languages such as Python and R for data analysis and model building.
• Perform other tasks as assigned by the line manager to support the data analysis team.
• Assist with calculating business performance and provide training to colleagues.

Qualifications

• Currently pursuing or recently completed a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Marketing, or a related field.
• Strong interest in data analysis, market research, business intelligence, and data-driven decision-making.
• Good knowledge of Microsoft Excel, including data manipulation, formulas, pivot tables, and basic reporting.
• Familiarity with Python for data processing and analysis.
• Experience with libraries such as Pandas, NumPy, Matplotlib, or similar tools would be an advantage.
• Basic understanding of databases and data management principles.
• Experience with Microsoft Access, SQL, or other database tools is desirable.
• Ability to collect, organize, clean, and validate large volumes of data with a high level of accuracy and attention to detail.
• Analytical mindset with the ability to identify trends, patterns, and insights from data.
• Knowledge of market analysis, business performance analysis, forecasting, or statistical modelling would be beneficial.
• Familiarity with R, Power BI, Tableau, or other data visualization and analytical tools would be considered an advantage.
• Good research skills with the ability to gather and evaluate information from external sources.
• Strong communication and interpersonal skills, with the ability to explain data findings clearly to non-technical colleagues.
• Self‑motivated, proactive, and able to work independently as well as collaboratively within a team environment.
• Excellent organisational skills with the ability to manage multiple tasks and meet deadlines.
• Fluent in English, both written and spoken. Chinese language skills would be an advantage but are not essential.