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For Companies At a Glance
- Tasks: Dive into customer data to uncover insights and improve experiences.
- Company: Join a leading global software company based in London.
- Benefits: Enjoy a hybrid work model with flexible office days and great perks.
- Why this job: Make a real impact on customer satisfaction while working with cutting-edge AI tools.
- Qualifications: Must be skilled in data analysis, SQL, and have a knack for strategic thinking.
- Other info: This is a 2-month contract role perfect for gaining valuable experience.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a hugely successful global software organization with UK headquarters located in London. They are now seeking an experienced Sales Operations Data Analyst for a 2 month contract. A hybrid role with 2-3 days a week in their central London offices.
Responsibilities
- Perform in-depth analysis of customer data and operational metrics for the UK and Emerging Markets, providing actionable insights and recommendations to enhance customer experience and streamline operational efficiencies across these markets.
- Analyse customer feedback data using operational data such as average handle times, queue wait times, and contact drivers.
- Conduct root cause analysis to identify key issues impacting customer satisfaction and operational performance.
- Develop strategic recommendations for BPO partner leadership to drive accountability and foster sales improvements.
- Design, test, and refine AI prompts or scripts using internal AI tools to ensure they effectively meet the identified needs.
Key Skills
- Data Analysis skilled in dissecting large volumes of data, making sense of trends and narratives, and deriving actionable insights.
- Strategic thinking and recommendation development to enhance operational and sales performance.
- Technical Proficiency in AI and Automation Tools: An understanding of AI tools, scripting, and prompt development.
- Proficiency in SQL is required.
Data Analyst - Sales Operations employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Sales Operations
✨Tip Number 1
Familiarise yourself with the specific data analysis tools and techniques mentioned in the job description. Brush up on your SQL skills, as this is a key requirement for the role. Consider working on sample datasets to demonstrate your ability to derive actionable insights.
✨Tip Number 2
Understand the sales operations landscape, particularly in the context of customer experience and operational efficiencies. Research common metrics used in the industry, such as average handle times and queue wait times, to show your knowledge during interviews.
✨Tip Number 3
Prepare to discuss your experience with AI tools and automation. If you have worked on developing scripts or prompts, be ready to share examples of how these have improved processes or outcomes in previous roles.
✨Tip Number 4
Network with professionals in the sales operations field, especially those who have experience in data analysis. Engaging with them can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Analyst - Sales Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analysis skills, particularly in relation to customer data and operational metrics. Include specific examples of how you've derived actionable insights from large datasets.
Craft a Compelling Cover Letter: In your cover letter, emphasise your experience with strategic thinking and recommendation development. Mention any relevant projects where you improved operational performance or customer satisfaction.
Showcase Technical Skills: Clearly outline your proficiency in SQL and any experience with AI and automation tools. If you've designed or refined AI prompts or scripts, be sure to include that as well.
Highlight Relevant Experience: If you have experience working in sales operations or similar roles, make it prominent in your application. Discuss any root cause analysis you've conducted and the impact it had on customer satisfaction.
How to prepare for a job interview at EF Recruitment
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis in detail. Bring examples of how you've dissected large volumes of data and derived actionable insights, especially in a sales context.
✨Demonstrate Strategic Thinking
Think about specific instances where you've developed strategic recommendations that improved operational or sales performance. Be ready to explain your thought process and the impact of your recommendations.
✨Familiarise Yourself with AI Tools
Since the role involves designing and refining AI prompts, brush up on your knowledge of AI tools and scripting. Be prepared to discuss any relevant experience you have with these technologies.
✨Prepare for Technical Questions on SQL
As proficiency in SQL is required, review key SQL concepts and be ready to answer technical questions or even solve problems on the spot. Practice writing queries that could relate to customer data analysis.
