Sales Optimisation Specialist
New Yesterday
Location: Hybrid – based in Glasgow City Centre
Are you an experienced data analyst looking for a new opportunity? If so, we're looking for a Sales Optimisation Specialist to join our Customer Data & Insight team.
Here at Golden Charter, we’re on an exciting growth and transformation journey and want you to be part of it!
What’s in it for you?
- Working arrangements which focus on delivering exceptional service to our customers and achieving our business objectives—regardless of location
- Flexible benefits allowance that supports you to choose your benefits
- Generous annual bonus
- Health cash plan
- Enhanced Family Friendly leave and many more...
What you'll be doing:
As the Sales Optimisation Specialist, you’ll be responsible for telling the story of what’s happening within our Sales channels. Your work will enable us to identify and prioritise commercial opportunities and have a real-time impact on performance.
Reporting to the Customer Data & Insight Lead, some of your key responsibilities will include:
- Analysing data across channels to identify areas for improvement and provide teams with a deeper understanding of performance, including sales performance, forecasting & projection
- Identification of trends & patterns
- Developing and maintaining dashboards and reports that track areas such as sales and channel performance
What we’re looking for:
We're looking for an experienced Data Analyst with 3+ years of experience using BI tools such as Tableau and/or Power BI. You’ll understand statistical methods and techniques to analyse data, interpret results, and validate findings. In addition, you will have excellent communication skills to effectively communicate to both technical and non-technical audiences.
If you’re excited about contributing to our growth and becoming part of a collaborative team, we’d love to hear from you. Please apply now or reach out to discuss further!
#J-18808-Ljbffr- Location:
- Glasgow, Scotland, United Kingdom
- Salary:
- £80,000 - £100,000
- Category:
- Management & Operations
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