Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data visualisation and AI interactions to drive business innovation.
- Company: Join Accenture, a global leader in Data and AI transformation.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Work in a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by transforming how businesses use data.
- Qualifications: Experience in data analytics, SQL, and stakeholder engagement required.
The predicted salary is between 60000 - 80000 £ per year.
The Data and AI revolution is changing everything. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance. We cover a wide range of Data and AI skills, from Strategy, Data Science, Data Architecture, Engineering and Visual Insights. At Augmented Insights we help clients transform the way they use data to solve business problems by making data analysis fast, easy, and more visual and impactful. We are the primary System Integration partner for leading vendors (e.g. Tableau, Qlik, PowerBI, Alteryx). We are leading innovation for new entrants in the market and using new capabilities at top tier clients. Equally, we help clients develop and enhance skills in data literacy.
As a valuable member of the Augmented Insights practice, you are uniquely positioned to bring your expertise in data analytics, data storytelling, user centric design and business consulting to help clients innovate using data. Your curiosity in data combined with your understanding of the business context will be the missing jigsaw piece to realise extraordinary business value. Your critical thinking in the customer/user journey coupled with your technical know-how in data will help our clients transform their business processes. Your ability to operate and lead a team as well as independently will be regarded as a critical factor for many successful multi-disciplined projects.
Excited? We are looking for strong candidates who can demonstrate experience, expertise, and strength in multiple disciplines, as well as passion in developing them, including:
- Data Analysis & Modelling
- Data handling and ingestion (SQL) skills
- Data Quality Principles
- DWH & Big Data architectures
- AI, ML and Advanced Analytics Techniques
- Stakeholder engagement and consulting skills
- Business analysis / requirements gathering
Locations: London, Edinburgh, Manchester
Accenture is committed to providing veteran employment opportunities to our service men and women.
Data Vis & AI Interaction Manager in Edinburgh employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Vis & AI Interaction Manager in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects and AI interactions. We love seeing real examples of your work, so make sure to highlight your best stuff when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics and user-centric design. We recommend doing mock interviews with friends or mentors to boost your confidence and get feedback.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to innovate with us.
We think you need these skills to ace Data Vis & AI Interaction Manager in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Vis & AI Interaction Manager role. Highlight your experience in data analytics, user-centric design, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through – we love a good story!
Showcase Your Skills: Don’t just list your skills; demonstrate them! If you have experience with SQL, data modelling, or AI techniques, provide examples of how you've used these in real-world scenarios. We’re looking for practical applications that show your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Accenture
✨Know Your Data Inside Out
Make sure you brush up on your data analysis and modelling skills. Be prepared to discuss specific projects where you've used SQL or advanced analytics techniques. Show them how your curiosity in data has led to innovative solutions in past roles.
✨Master the Art of Data Storytelling
Since this role involves data storytelling, think about how you can present complex data insights in a simple, engaging way. Prepare examples of how you've transformed data into impactful narratives that drove business decisions.
✨Showcase Your User-Centric Design Skills
Highlight your experience with user-centric design principles. Be ready to discuss how you've engaged stakeholders and gathered requirements to create data solutions that truly meet user needs. This will demonstrate your ability to bridge the gap between technical and business aspects.
✨Demonstrate Leadership and Teamwork
Whether you're leading a team or working independently, be prepared to share examples of how you've successfully managed multi-disciplined projects. Talk about your approach to collaboration and how you motivate others to achieve common goals.