Senior Data Analyst - Customer Success Insights (Hybrid) in London

Senior Data Analyst - Customer Success Insights (Hybrid) in London

London Temporary 31500 - 38500 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to enhance customer success and create impactful dashboards.
  • Company: Join a leading Global SaaS company with a focus on innovation.
  • Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on leveraging Gen AI.
  • Why this job: Make a difference by driving customer success through data insights.
  • Qualifications: Experience in data analysis and a passion for customer experience.

The predicted salary is between 31500 - 38500 £ per year.

Executive Facilities is seeking an experienced Data Analyst to join a Global Saa S client’s Global Customer Success Data Science Team on a 10-month contract.

The role focuses on measuring and delivering customer success, and aligning data with strategy across customer experience, digital experience, service delivery, and supportability.

The candidate will build data foundations, develop dashboards, perform deep-dive analytics, and leverage Gen AI to automate insights and improve processes.

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Senior Data Analyst - Customer Success Insights (Hybrid) in London employer: Executive Facilities

Join a leading global SaaS organisation as a Senior Data Analyst and immerse yourself in an award-winning work environment that champions innovation and collaboration. With a hybrid working model, you will enjoy the flexibility of working three days on-site while contributing to exciting AI/ML user experience projects. The company prioritises employee growth, offering opportunities to enhance your skills across cutting-edge technologies like Cloud Composer and Google Cloud Platform, making it an excellent employer for those seeking meaningful and rewarding employment.

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Contact Details:

Executive Facilities Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - Customer Success Insights (Hybrid) in London

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Executive Facilities before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Executive Facilities.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Executive Facilities.

We think you need these skills to ace Senior Data Analyst - Customer Success Insights (Hybrid) in London

Data Analysis
Dashboard Development
Deep-Dive Analytics
Gen AI
Customer Experience Measurement
Digital Experience Alignment
Service Delivery Insights

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Executive Facilities, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Executive Facilities, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Executive Facilities’s attention and show the tangible impact of your work.

How to prepare for a job interview at Executive Facilities

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Executive Facilities.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Executive Facilities.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Executive Facilities.