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- Tasks: Create interactive dashboards and analyse data to support sales and marketing teams.
- Company: Global SaaS company with a vibrant culture in central London.
- Benefits: Friendly team, informal dress code, hybrid work model, and global exposure.
- Other info: Exciting opportunity for career growth in a supportive environment.
- Why this job: Join a dynamic team and make an impact on growth and retention strategies.
- Qualifications: Proficient in SQL, Excel, and dashboard tools like Tableau; 3+ years experience required.
The predicted salary is between 40000 - 50000 £ per year.
Our client is a global SaaS type company who are now seeking a Sales Operations Data Analyst based at their impressive UK headquarters in central London. This is a 3-6 month contract, hybrid, with 3 days a week in the office. You will be supporting their EMEA business working directly with their sales and marketing teams.
Duties:
- Design and build interactive and intuitive Customer Success dashboards to report on retention and revenue generating activities.
- Utilize SQL and Python to query databases, perform data manipulation, and automate analysis processes.
- Support experimentation on Growth & Retention success by analyzing and reporting on A/B testing.
- Present findings and insights to business stakeholders and executives in a clear and concise manner.
Skills:
- High proficiency in SQL, Excel.
- Proven experience in building dashboards in Tableau and Qliksense (or similar reporting tools).
- Experience with A/B testing methodologies and analysis.
- 3+ years of relevant experience working with web and call centre data.
- Ability to manage time effectively and prioritize tasks to meet project deadlines.
Benefits:
- Friendly supportive team
- Informal dress code
- Global organisation
- Hybrid role
Data Analyst - Sales Operations in London employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Sales Operations in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can lead to insider info and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Python scripts, and any dashboards you've built. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Be ready to discuss your experience with A/B testing and how you've used data to drive decisions in past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing familiar faces in our talent pool!
We think you need these skills to ace Data Analyst - Sales Operations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Python, and dashboard tools like Tableau or Qliksense. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed dashboards or conducted A/B testing. This helps us understand your hands-on experience and how you can contribute to our team.
Keep It Clear and Concise: When writing your cover letter, be clear and concise. We appreciate straightforward communication, so get to the point while showcasing your enthusiasm for the role and the company.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at EF Recruitment
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these languages to manipulate data or automate processes. They’ll likely want to see how you can apply these skills in real-world scenarios.
✨Showcase Your Dashboard Design Skills
Prepare to talk about your experience with dashboard tools like Tableau or Qliksense. Bring examples of dashboards you've built, and be ready to explain your design choices and how they helped stakeholders make informed decisions.
✨Understand A/B Testing Methodologies
Since this role involves analysing A/B tests, make sure you can explain the process clearly. Discuss any relevant experiences you have, including how you set up tests, what metrics you tracked, and how you presented your findings to teams.
✨Communicate Clearly and Concisely
Practice presenting your findings in a straightforward manner. You might be asked to explain complex data insights to non-technical stakeholders, so focus on clarity and simplicity in your explanations. This will show that you can bridge the gap between data and business needs.