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- Tasks: Transform client needs into data-driven solutions and create stunning visualisations.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and extra leave for charity work.
- Other info: Flexible working environment with opportunities for onsite client engagement.
- Why this job: Dive into the world of data analytics and generative AI while making a real impact.
- Qualifications: Experience with BI tools like Alteryx and Tableau is essential; passion for data is a must.
The predicted salary is between 50000 - 70000 £ per year.
Accenture is a leading global professional services firm, applying industry expertise, next‑generation technology and data analytics to solve client challenges.
In our team you will learn:
- How to translate business needs from clients into technical requirements
- Estimating level of effort, developing and implementing solutions
- Demonstrating our technology platform to prospective clients
- New techniques in delivering truly transformative engagements
- Learning the latest GenAI capabilities
In this role you will:
- Blend, cleanse and enrich data of any type, size, structure or source
- Analyse and investigate data using visual, predictive and spatial techniques to find patterns across datasets
- Follow best‑practice guidelines to create interactive visualisations
- Work on both standalone and team projects
- Provide technical support to clients that require assistance
- Deliver training workshops and build proof‑of‑concepts for new prospects
We are looking for experience in the following skills:
Essential:
- Hands‑on (ideally certified) in a leading BI tool, in particular Alteryx, Tableau or Qlik/Talend.
- Data engineering/Data modelling knowledge on how data needs to serve BI applications and varied BI use cases.
Desirable:
- Experience implementing Alteryx and Tableau Server, or with Qlik Cloud (Qlik Talend Cloud or Qlik Analytics); experience with Looker is advantageous.
- Have a passion for data, analytics, visualisation, and generative AI.
- Demonstrate a proven history of delivering compelling solutions that exceed stakeholder expectations.
Set yourself apart:
- Have a passion for data, analytics and visualisation.
- Come with certified experience of Alteryx and Tableau.
- Demonstrate a proven history of delivering compelling solutions that exceed client expectations.
In addition to a competitive basic salary, you will receive an extensive benefits package, including 25 days’ vacation per year, private medical insurance and 3 extra days of leave per year for charitable work of your choice. Flexibility and mobility are required to deliver this role, as there will be requirements to spend time onsite with clients and partners.
Analytics & Data Insight Consultant in London employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics & Data Insight Consultant in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 visualisations and analytics projects. This is your chance to demonstrate your hands-on experience with tools like Alteryx and Tableau, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data insights and analytics. Be ready to discuss how you've tackled challenges in past projects and how you can bring value to the team at Accenture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and contributing to exciting projects.
We think you need these skills to ace Analytics & Data Insight Consultant in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics & Data Insight Consultant role. Highlight your experience with BI tools like Alteryx and Tableau, and show how your skills align with what we’re looking for.
Show Your Passion: We love candidates who are passionate about data and analytics! Share any personal projects or experiences that demonstrate your enthusiasm for visualisation and generative AI in your application.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out, and ensure your technical skills are easy to spot.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Accenture
✨Know Your Tools Inside Out
Make sure you’re well-versed in the BI tools mentioned, especially Alteryx and Tableau. Brush up on their features and functionalities, and be ready to discuss how you've used them in past projects. This will show your hands-on experience and passion for data.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated business needs into technical solutions. Think about specific challenges you faced and how you overcame them using data analytics. This will demonstrate your ability to deliver compelling solutions that exceed expectations.
✨Visualisation is Key
Since the role involves creating interactive visualisations, practice explaining your approach to data visualisation. Be ready to discuss best practices and any projects where your visualisations made a significant impact. This will highlight your analytical skills and creativity.
✨Stay Updated on GenAI Trends
Familiarise yourself with the latest generative AI capabilities and how they can enhance data analytics. Being knowledgeable about current trends will not only impress your interviewers but also show your commitment to continuous learning in the field.