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- Tasks: Enhance customer success through data analytics and improve operations across global markets.
- Company: Award-winning SaaS organisation with a focus on innovation.
- Benefits: Long contract, hybrid work model, and free breakfast.
- Other info: Exciting opportunity for growth in a collaborative environment.
- Why this job: Join a dynamic team and make a real impact in customer experience.
- Qualifications: 8+ years in Data Analytics, SQL proficiency, and dashboarding skills.
The predicted salary is between 48000 - 72000 £ per year.
Our client, an award-winning SaaS organisation, is seeking an experienced Sales Operations Data Analyst focusing on building core data capabilities across multiple global regions and markets. You’ll play a pivotal role in improving customer success and driving impact across Customer Experience, Digital Experience, and Service Delivery.
Central London location, hybrid, 10-month contract.
Required Skills:- 8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains.
- Proficiency in SQL for data extraction, transformation, and pipeline development.
- Experience with dashboarding and visualization tools (Tableau, Qlik, or similar).
- Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes.
- Python or R for advanced analytics, automation, or experimentation support.
- Knowledge of statistical methods and experimentation (A/B testing) preferred.
- Machine learning and Generative AI experience is a plus.
- Experience working with call centre and/or sales operations.
- Long contract
- Hybrid role
- Free breakfast
Sales Operations Analyst employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Operations Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at the company you're eyeing. A friendly chat can give us insights and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and data visualisation tools. We want to show off our expertise, so practice explaining complex data concepts in simple terms.
✨Tip Number 3
Don’t forget to showcase your experience with customer success and operations during interviews. We need to highlight how our past roles have prepared us for this Sales Operations Analyst position.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Sales Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Sales Operations Analyst role. Highlight your experience in Data Analytics and any relevant tools you've used, like SQL or Tableau. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in Customer Success or Operations makes you a great fit. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects: If you've worked on projects that involved big data tools or advanced analytics, make sure to mention them. We’re interested in seeing how you've applied your skills in real-world scenarios, especially if they relate to customer experience or service delivery.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially SQL. Be prepared to discuss how you've used SQL for data extraction and transformation in past roles. Think of specific examples where your data insights led to improved customer success or operational efficiency.
✨Showcase Your Visualisation Skills
Familiarise yourself with the dashboarding tools mentioned in the job description, like Tableau or Qlik. Bring along a portfolio or examples of dashboards you've created that demonstrate your ability to present complex data in an understandable way. This will show your potential employer that you can drive impact through effective visualisation.
✨Understand the Customer Experience
Since this role focuses on improving customer success, be ready to discuss your experience in this area. Think about how your data analysis has directly influenced customer satisfaction or service delivery. Prepare to share specific metrics or outcomes that highlight your contributions.
✨Stay Current with Trends
Brush up on the latest trends in data analytics, especially around big data tools and machine learning. If you've worked with tools like Snowflake or Databricks, be ready to talk about your experiences. Showing that you're knowledgeable about current technologies will set you apart from other candidates.