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Retail analyst – experiential retail management

London
HARP
Retail analyst
Posted: 30 August
Offer description

Reference Number HWRACP Consultant Kristina Wallen Date Posted 21 August, 2024 Salary £Good plus Benefits Location London Company type Retail Destination Consultancy Job sector Analyst Job description We are looking for a talented Retail Analyst with a growing Retail Placemaking consultancy, to take on a pivotal role in examining retail visitation, sales data, customer behaviour, and market trends to drive strategic decision-making. The ideal candidate will possess robust analytical skills, a deep understanding of the industry, and the ability to communicate insights clearly to diverse stakeholders. Ideally the candidate will have knowledge and experience in destination tourism, retail or hospitality.
1. Data Analysis and Reporting:
Analyze client data on customer visitation and behaviour to support retail strategies. Forecast key KPIs, including visitation, sales revenue, and rental income. Develop detailed appraisal models to back up forecasts.
2. Market and Competitive Analysis:
Monitor market trends, consumer behaviour, and competitor activities. Create a global retail benchmarks database.
3. Customer Insights and Behavior Analysis:
Develop customer segmentation models to understand preferences and behaviors, and inform the creation of customer personas. Provide insights to improve customer experience and loyalty.

Tagged as: Permanent

Skills

Skills & Qualifications:

Required:

4. Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field.
5. 3-5 years of experience in retail or tourism analysis, data analysis, or a similar role.
6. Proficiency in Excel and data visualization tools.
7. Strong analytical skills with the ability to interpret complex data.
8. Excellent communication skills for presenting findings to non-technical stakeholders.
9. Knowledge of retail industry trends and consumer behaviours.
10. Ability to work independently and in a team within a fast-paced environment.

Preferred:

11. Experience with predictive modeling or machine learning.
12. Familiarity with retail management systems and databases.
13. Understanding of e-commerce and digital retail trends.

Key Competencies:

14. Analytical thinking and attention to detail.
15. Strategic mindset with strong business acumen.
16. Organizational and time management skills.
17. Adaptability to changing priorities and tight deadlines.
18. Passion for retail and data-driven decision-making

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