Data Analyst (Product Analytics)/数据分析专员
Luminarytech Ltd.
Hayes, United Kingdom
3 months ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
Chinese (Mandarin) Experience level
Junior Compensation
£ 30KJob location
Hayes, United Kingdom
Tech stack
Data analysis
Python
Power BI
SQL Databases
Tableau
Information Technology
Job description
- Own product data monitoring and build a comprehensive business metrics system to effectively track business performance and identify potential risks.
- Plan and design multi-dimensional business data models; analyze, design, and deliver business reporting solutions to support business teams and management decision-making, enabling data-driven operations.
- Work from a strong business perspective with a deep understanding of business goals and strategies; support business exploration, performance diagnosis, optimization analysis, metric modeling, and post-analysis reviews, and provide actionable and constructive recommendations.
- Organize and deliver training on data product concepts, analytical skills, and tools to promote data-driven operations across business teams.
- Monitor data quality, proactively identify data issues, and drive timely resolution.
Requirements
Do you have experience in Data analytics?, Do you have a Bachelor's degree?, * Bachelor's degree or above, preferably in Mathematics, Statistics, Computer Science, or related fields.
- 1-3 years of experience in data analysis or related roles.
- Proficient in SQL, Python, and BI/analytics tools such as Power BI and Tableau.
- Strong logical thinking and problem-solving abilities, with solid business understanding and the ability to quickly identify issues and propose effective solutions.
Job Type: Full-time
Pay: £25,000.00-£30,000.00 per year
Ability to commute/relocate:
- Uxbridge UB11 1FE: reliably commute or plan to relocate before starting work (preferred)
Education:
- Bachelor's (preferred)
Experience:
- Data analytics: 1 year (preferred)
Language:
- Mandarin (preferred)