At a Glance
- Tasks: Update databases, clean data, and assist in data analysis projects using Python.
- Company: Join a dynamic team focused on data-driven decision-making.
- Benefits: Flexible hours, competitive pay, and opportunities for skill development.
- Other info: Collaborative environment with room for growth and learning.
- Why this job: Dive into the world of data and make a real impact on business insights.
- Qualifications: Pursuing a degree in Data Science or related field with a passion for data analysis.
The predicted salary is between 12 - 15 £ per hour.
Key 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.
Requirements:
- 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.
Part Time Business Data Assistant in London employer: China Telecom Global
As a Part Time Business Data Assistant, you will thrive in a dynamic and supportive work environment that values innovation and collaboration. Our company offers flexible working hours, opportunities for professional development, and a culture that encourages continuous learning and growth. Located in a vibrant area, we provide access to a wealth of resources and networking opportunities, making it an ideal place for aspiring data professionals to launch their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Part Time Business Data Assistant in London
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like China Telecom Global.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at China Telecom Global and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Part Time Business Data Assistant in London
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at China Telecom Global aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at China Telecom Global
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with China Telecom Global.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to China Telecom Global.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at China Telecom Global, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at China Telecom Global will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
