At a Glance
- Tasks: Drive customer analytics and create impactful solutions for leading brands.
- Company: Join Accenture, a global leader in professional services and innovation.
- Benefits: Enjoy 30 days leave, flexible work policies, and comprehensive health benefits.
- Other info: Access world-class training and career development opportunities in a vibrant environment.
- Why this job: Be at the forefront of data and AI, transforming industries and communities.
- Qualifications: Experience in customer analytics, strong communication, and problem-solving skills required.
The predicted salary is between 55000 - 65000 £ per year.
We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.
The Data & AI team is: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI 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.
Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
You will learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.
In the Data & AI team you will:
- Be at the forefront of the industry, creating, owning and making it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
- Work with famous brands and household names.
- Develop your skills with our world class training programmes.
- Drive and implement real world solutions into production that drive business value to our clients.
- Work alongside global teams to collaborate and deliver the best solutions for our clients.
- Drive your career progression via our structured career development programs.
- Align with our industry partners to develop your career and the solutions we deliver for our clients.
Key Responsibilities:
- Set strategic vision for analytics in-line with broader client landscapes, e.g. marketing, technology, data etc.
- Establish our client’s customer modelling strategy.
- Carry out customer analytics and modelling in line with best practice.
- Collaborate with Marketing teams to integrate analytics with marketing programmes and customer experiences.
- Gather and clean data from various sources to ensure it is ready for analysis, ensuring data quality and consistency.
- Stay updated on industry trends and best practices in customer analytics to drive innovation.
Skills Profile:
- Strong experience in customer analytics or similar role.
- Advanced understanding of matrixed organisations and comfortable in managing cross functional teams.
- Skilled in programming languages like R, Python, Big Query etc.
- Experience in delivering end-to-end analytics projects.
- Proven analytical skills with the ability to interpret complex data sets and generate actionable insights.
- Strong communication skills with the ability to present findings to non-technical stakeholders.
- Experienced with data visualization tools (e.g., Tableau, Power BI).
- Problem solving mindset with a passion for continuous improvement.
Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
- 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
- Family-friendly and flexible work policies.
- Attractive pension plan with financial wellbeing support and resources.
- Private healthcare insurance plan and Mental Wellbeing support.
- Employee Assistance Programme, Career Development and Counselling.
- A range of generous Parental Leave offerings.
About Accenture: Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Customer Analytics Consultant in London employer: Accenture
Accenture is an exceptional employer that fosters a vibrant and innovative work culture, offering employees the chance to thrive in a diverse environment while working with cutting-edge technologies. With access to world-class training programmes and structured career development opportunities, employees can grow their skills and advance their careers while contributing to meaningful projects for renowned brands. The company also prioritises employee wellbeing with generous leave policies, flexible work arrangements, and comprehensive health benefits, making it an attractive place for those seeking a rewarding career in customer analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Know their recent projects and how you can contribute. This shows you’re genuinely interested and ready to hit the ground running!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful – you want to leave them wanting to know more about you.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the position. Plus, it’s just good manners!
We think you need these skills to ace Customer Analytics Consultant in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Customer Analytics Consultant role. Highlight your relevant experience in customer analytics and any specific skills that match the job description, like your proficiency in R or Python.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Use examples from your past work where you interpreted complex data sets and generated actionable insights. This will show us you can deliver real value.
Keep It Clear and Concise:We love a well-structured application! Make sure your writing is clear and to the point. Avoid jargon unless it’s relevant, and ensure your key achievements stand out. We want to see your strengths without wading through fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Accenture
✨Know Your Data
Make sure you brush up on your knowledge of customer analytics and the tools mentioned in the job description, like R, Python, and data visualisation tools. Be ready to discuss how you've used these in past projects and how they can be applied to real-world scenarios.
✨Understand the Company
Familiarise yourself with Accenture Song and its approach to customer analytics. Knowing their values and recent projects will help you tailor your answers and show that you're genuinely interested in the role and the company.
✨Prepare for Scenario Questions
Expect to face scenario-based questions where you'll need to demonstrate your problem-solving skills. Think of examples from your experience where you've successfully tackled challenges in customer analytics and be ready to explain your thought process.
✨Showcase Your Communication Skills
Since you'll be presenting findings to non-technical stakeholders, practice explaining complex data insights in simple terms. This will highlight your ability to bridge the gap between technical and non-technical teams, which is crucial for this role.
