Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into actionable insights and enhance customer outcomes across global markets.
- Company: Leading global tech organisation with a focus on innovation.
- Benefits: Competitive pay, remote work flexibility, and opportunities for professional growth.
- Other info: Dynamic role in a fast-paced environment with excellent career advancement potential.
- Why this job: Make a real impact by shaping data strategies and driving AI-ready analytics.
- Qualifications: Experience in data analytics, strong SQL skills, and a passion for AI.
We're working with a leading global tech organisation to hire a Business Data Analyst to help build and scale core data capabilities across multiple international markets. This is a high-impact role focused on turning data into actionable insight, strengthening data foundations and enabling AI-ready analytics across Customer Success, Digital Experience, Service Delivery and Support functions.
You'll sit in the International Customer Success analytics team and play a key role in improving how customer outcomes are measured, understood and improved across non-US markets. This is not a pure BI role, it's end-to-end analytics, from building data foundations through to dashboards, insight generation and strategic storytelling.
Key Responsibilities:- Build and strengthen data foundations, pipelines and governance, ensuring scalable, consistent datasets across international regions.
- Support AI-ready data structures, including clear documentation, standardisation and data quality improvements for downstream AI consumption.
- Design and deliver scalable dashboards and reporting, connecting customer journey metrics.
- Perform deep-dive analysis and root cause insights to identify drivers of customer issues, digital adoption and operational performance.
- Support A/B testing and experimentation, analysing outcomes and quantifying business impact.
- Communicate insights through strong storytelling, translating complex analysis into clear, actionable recommendations.
- Experience in Data Analytics or Data Science, ideally within Customer Success, Digital or Operations environments.
- Strong SQL skills (essential).
- Experience with Tableau, Qlik or PowerBI.
- Exposure to Snowflake, Databricks, Spark or ETL processes (desirable).
- Python experience (nice to have).
- Strong understanding of statistics, A/B testing and experimentation.
- Experience working with customer/digital or contact centre KPIs preferred.
- Comfortable working in fast-paced, ambiguous environments with multiple priorities.
- Genuine interest in AI and automation, with curiosity around how GenAI can improve analytics workflows.
You're a proactive data analyst who goes beyond reporting, someone who connects the dots between data, insight and business impact. You're comfortable engaging with stakeholders, challenging requirements where needed and thinking strategically about the 'so what' behind the numbers.
Analityk Analityk Business Data Analyst (Remote) in London employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analityk Analityk Business Data Analyst (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, and any A/B testing you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising your storytelling skills. Be ready to explain how your insights have driven business decisions in the past. Remember, it’s all about connecting the dots between data and impact!
✨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 get noticed by our hiring team.
We think you need these skills to ace Analityk Analityk Business Data Analyst (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Data Analyst. Highlight your experience with data analytics, SQL skills, and any relevant tools like Tableau or PowerBI. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've turned data into actionable insights and improved customer outcomes. Let your personality shine through!
Showcase Your Storytelling Skills: Since this role involves translating complex analysis into clear recommendations, make sure to highlight your storytelling abilities in your application. We love seeing how you can connect the dots between data and business impact!
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Morgan McKinley
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with tools like Tableau or PowerBI. Be ready to discuss how you've used these in past projects, as this will show your practical experience and understanding of data visualisation.
✨Master the Art of Storytelling
Since this role involves translating complex data into actionable insights, practice how you would communicate your findings. Prepare a few examples where you've turned data into a compelling narrative that drove business decisions.
✨Show Your Curiosity for AI
Demonstrate your genuine interest in AI and automation during the interview. Think about how GenAI can enhance analytics workflows and be prepared to share your thoughts on this topic, as it aligns with the company's focus on AI-ready analytics.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills, especially around A/B testing and deep-dive analysis. Prepare specific examples from your experience where you identified issues and provided solutions, highlighting your analytical thinking.