Michael Paige
Website:
michaelpage.com
Job details:
- Job Opportunity
- Role ahead
About Our Client
The employer is a well-established, large organisation in the retail industry with a strong focus on data-driven decision-making. The company is known for its robust analytics team and offers opportunities to work on impactful projects within the Shanghai market.
Job Description
- Analyse large datasets to uncover trends and provide actionable recommendations.
- Collaborate with cross-functional teams to support decision-making processes.
- Develop and maintain dashboards and reports for tracking key performance indicators (KPIs).
- Identify areas for business improvement through data analysis and reporting.
- Ensure data accuracy and integrity by performing regular quality checks.
- Support the analytics department in implementing advanced statistical models.
- Present data insights and findings to stakeholders in a clear and concise manner.
- Stay updated on the latest tools and techniques in data analytics to improve processes.
The Successful Applicant
A successful Data Analyst should have:
- A degree in a relevant field such as Statistics, Mathematics, Computer Science, or similar.
- Proficiency in data analysis tools such as SQL, Python, or R.
- Experience with data visualisation platforms like Tableau or Power BI.
- Strong problem-solving and analytical skills to interpret complex datasets.
- Attention to detail and a commitment to ensuring data accuracy.
- The ability to communicate findings effectively to both technical and non-technical audiences.
What's on Offer
- Competitive salary package based on qualifications and experience.
- Opportunities to work on high-impact projects within the retail industry.
- A collaborative and data-focused company culture in Shanghai.
- Access to professional development and skill-building resources.
- Comprehensive holiday and leave policies.
If this opportunity aligns with your skills and career aspirations, we encourage you to apply and become part of a thriving analytics team in the retail industry.
Contact: Ronit Pandita
Quote job ref: JN-032026-6982673
Click on Apply to know more.