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- Tasks: Analyse data to enhance customer success and improve digital experiences.
- Company: Award-winning SaaS organisation with a focus on innovation.
- Benefits: Long contract, hybrid work, and free breakfast.
- Why this job: Make a real impact in customer experience while working with cutting-edge data tools.
- Qualifications: 8+ years in Data Analytics, SQL proficiency, and dashboarding skills.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Our client an award winning SaaS organisation providing software solutions to the SME marketplace is now seeking an experienced Operations Analyst for a 12 month contract. Central London location, hybrid, with 2-3 days a week in the office.\\n\\nYou will help the team maintain a consistent and structured approach to handling investigations and incidents.\\n\\nSkills\\n\\n * Experience in incident management, investigations, operations, or analytical role in a service environment.\\n\\n * Strong analytical skills such as Google Workspace and Tableau.\\n\\n * Comfortable using Slack, Salesforce, Jira, and similar operational tools.\\n\\n * Ability to identify patterns in data and turn insights into actionable recommendations.\\n\\n * ITIL Foundation preferred.\\n\\nResponsibilities:\\n\\n * Support timely and consistent handling of incidents, investigations, and related case work.\\n\\n * Ensure cases are triaged and progressed in line with expectations, highlighting gaps in speed, quality, or process.\\n\\n * Perform root cause analysis and identify trends across incidents and recurring issues.\\n\\n * Provide analytical insights that help prioritise fixes and improvements .\\n\\n * Contribute to improvements that resolve issues more quickly.\\n\\nBenefits\\n\\n * Global company, long contract\\n\\n * Hybrid role\\n\\n * Free breakfast
Data Analyst - Customer Success employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Customer Success
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analytics and customer success. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few case studies or projects that highlight your experience with SQL, dashboarding tools, and any big data technologies you've worked with. This will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analyst - Customer Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Analytics, especially in Customer Success and Operations. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Skills: When writing your application, emphasise your proficiency in SQL and any dashboarding tools you’ve used. If you've worked with big data tools like Snowflake or Databricks, let us know! We love seeing those skills in action.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your experience and skills. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at EF Recruitment
✨Know Your Data Tools
Make sure you brush up on your SQL skills and be ready to discuss how you've used it in past projects. Familiarity with dashboarding tools like Tableau or Qlik will also come in handy, so have examples ready to showcase your experience.
✨Understand Customer Success Metrics
Dive deep into the key performance indicators (KPIs) related to customer success and digital experience. Be prepared to talk about how your analytical insights have driven improvements in these areas in previous roles.
✨Showcase Your Problem-Solving Skills
Think of specific challenges you've faced in data analytics and how you overcame them. Highlight any experience with A/B testing or machine learning, as this will demonstrate your ability to apply advanced techniques to real-world problems.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy and how they measure success in customer experience. This shows your genuine interest in the role and helps you assess if it's the right fit for you.