Global Sales Planning & AI Analytics Lead in London

Global Sales Planning & AI Analytics Lead in London

London Full-Time No working from home possible
Omaze

At a Glance

  • Tasks: Lead global sales planning and AI analytics to optimise forecasting and pipeline management.
  • Company: Join Apple, a leader in innovation and technology.
  • Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
  • Other info: Dynamic role with potential for career advancement in a global environment.
  • Why this job: Make an impact by automating sales processes with cutting-edge AI technology.
  • Qualifications: Experience in analytics, sales planning, and strong collaboration skills required.

Apple seeks an International Business - Process and Analytics Lead to partner with regional and global teams on forecasting, pipeline, territory design, and quota allocation. You will automate and scale sales planning using AI workflows and data systems, collaborating with Data Science, Engineering, and Business Analytics.

You will work hands-on to prototype flows, design cross-functional solutions, and drive excellence in analytics, governance, and stakeholder communication across markets.

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Global Sales Planning & AI Analytics Lead in London employer: Omaze

Omaze is an exceptional employer located in Greater London, offering a vibrant work culture that prioritises employee well-being and growth. With generous benefits such as stock options, 25 days of annual leave, and private health insurance, we foster an environment where our Customer Experience Leaders can thrive and make a meaningful impact on customer interactions.

Omaze

Contact Details:

Omaze Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Global Sales Planning & AI Analytics Lead in London

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

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Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

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We think you need these skills to ace Global Sales Planning & AI Analytics Lead in London

Sales Planning
AI Workflows
Data Systems
Forecasting
Pipeline Management
Territory Design
Quota Allocation

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Omaze, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Omaze

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Omaze’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.