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- Tasks: Analyse data to support product and operations teams, creating dashboards and reports.
- Company: Join a dynamic team in a fast-paced tech environment in the UK.
- Benefits: Enjoy 26 days holiday, competitive salary, and great risk benefits.
- Why this job: Make an impact by turning data into insights that drive business decisions.
- Qualifications: 2+ years in data analytics, proficient in SQL, Python, and Tableau.
- Other info: Be part of an inclusive team that values your input and fosters growth.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a highly motivated Data Analyst to join our growing team in the UK. In this role, you will work closely with our Product, Back office and Operations teams to translate business and risk requirements into data logic, design operational dashboards, monitor key risk/operations metrics, and support the development of internal tools that power our back office.
Strong communication skills are essential, as you will be expected to work closely with stakeholders across various functions and explain findings to non-technical audiences.
Key Responsibilities:- Partner with product managers, platform engineers, and operations teams to design and implement data logic for back-office and risk-control workflows.
- Build and maintain internal dashboards, operational monitoring, and risk-related KPI reports.
- Conduct deep-dive product and operational analysis to identify anomalies, inefficiencies, and optimisation opportunities.
- Support requirement scoping for new back-office features (e.g., monitoring logic, risk rules), and turn them into clear data specifications.
- Ensure data accuracy and consistency by collaborating with engineers on data tracking, table design, and logic validation.
- Provide ad-hoc insights to support decision-making across product and risk teams.
- 2+ years of experience in a data analytics or business intelligence role.
- Proficient in SQL, Python (especially for data analysis), and Tableau (or other BI tools).
- Strong analytical and problem-solving skills with a keen eye for detail.
- Experience working closely with Product, Engineering, or Operations teams.
- Ability to clearly communicate insights and recommendations to stakeholders with diverse backgrounds.
- Comfortable working in a fast-paced and dynamic environment.
- Mandarin proficiency is preferred.
- Experience with risk analytics, operational workflows, BI systems.
- Familiarity with quantitative methods (funnel conversion, cohort analysis).
- Solid foundation in statistics and data interpretation.
- Experience working on mobile app or web product analytics.
- Familiarity with modern big data frameworks (e.g., Spark, Hive, Presto, or similar) is a plus.
- Experience a dynamic and team-oriented work environment.
- Opportunities for personal growth and learning.
- An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
- 26 days paid holiday per year, in addition to local public holidays.
- Competitive salary.
- Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance.
- Team Building activities.
- Local discounts and more...
Data Analyst (Chinese Speaking) in Hammersmith employer: Eeze
Contact Detail:
Eeze Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (Chinese Speaking) in Hammersmith
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Show off your skills with a portfolio! Create a few projects that highlight your data analysis abilities, especially using SQL, Python, and Tableau. This gives potential employers a taste of what you can do and makes you more memorable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Data Analyst (Chinese Speaking) in Hammersmith
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and any BI tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background makes you a great fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Communication Skills: Since strong communication is key in this role, make sure to demonstrate your ability to explain complex data insights clearly. Use examples from your past experiences where you successfully communicated findings to non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Eeze
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and Tableau skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Communicate Clearly
Since strong communication skills are essential for this role, practice explaining complex data concepts in simple terms. Think about examples where you've had to present findings to non-technical audiences and be prepared to share those stories.
✨Understand the Business Context
Familiarise yourself with the company's products and operations. Knowing how data impacts decision-making in their specific context will help you demonstrate your analytical mindset and how you can add value to their team.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data scenarios. Practise thinking through your approach to identifying anomalies or optimising processes, as this will showcase your problem-solving skills and analytical prowess.
