At a Glance
- Tasks: Analyse data to optimise digital strategies and enhance user experiences.
- Company: Leading consultancy firm with a focus on innovation and diversity.
- Benefits: Competitive salary, flexible work policies, generous leave, and health benefits.
- Other info: Opportunities for career development and a supportive work environment.
- Why this job: Join a dynamic team and make a real impact in the digital marketing landscape.
- Qualifications: Experience in digital analytics and strong communication skills required.
The predicted salary is between 55000 - 65000 £ per year.
You will have a marketing analytics or web analytics background and will be comfortable using data to help advise clients on website design, user journey analysis, media advisory and digital strategy. During client projects, you will contribute to promoting a customer‑centric vision of digital marketing, based on the systematic and methodical use of data to support decisions as well as supporting Accenture to evolve its digital analytics offering.
Key Responsibilities
- Set strategic vision for digital analytics in line with broader client landscapes, e.g. marketing, technology, data, etc.
- Establish client’s measurement strategies for their digital assets, including web and app.
- Audit and define digital analytics tagging implementations with the ability to work with both business and technical stakeholders to ensure that tracking requirements are captured and implemented accurately.
- Define dataLayer structures and other key requirements for digital analytics purposes.
- Analyse website traffic, user engagement, and conversion rates to identify opportunities for optimisation.
- Create dashboards and reports to track key performance indicators (KPIs) and communicate insights to stakeholders.
- Employ and implement digital analytics tools (e.g., Google Analytics, Adobe Analytics) to monitor digital campaigns and identify areas for improvement, including both web and apps.
- Collaborate with Marketing teams to measure the effectiveness of digital campaigns and recommend strategies for maximising ROI.
- Work with multiple teams across the MMM project from the business and internal analytics teams.
- Collect and prepare data: gather and clean data from various sources to ensure it is ready for analysis, working with large datasets and ensuring data quality and consistency.
- Develop and validate marketing mix models, selecting appropriate modelling techniques and ensuring the models are robust and accurate.
- Stay updated on industry trends and best practices in digital analytics to drive innovation.
Skills Profile
- Strong experience in digital analytics or a similar role, preferably in a retail or e‑commerce environment.
- Advanced understanding of matrixed organisations and comfortable managing cross‑functional teams.
- Skilled in digital analytics & experience analytics platforms (e.g. Google Analytics, Adobe Analytics, ContentSquare, Decibel, etc.).
- Experience delivering end‑to‑end MMM projects.
- Experience using Tag Management Systems (e.g. Google Tag Manager, Tealium, Adobe Launch, etc.).
- Proven analytical skills with the ability to interpret complex data sets and generate actionable insights.
- Strong communication skills to present findings to non‑technical stakeholders.
- Experience with data visualisation tools (e.g., Tableau, Power BI).
- Problem‑solving mindset with a passion for continuous improvement.
What’s in it for you
- 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.
- 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.
Equal Employment Opportunity Statement
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, colour, 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.
Digital Analytics Specialist employer: Accenture UK
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Digital Analytics Specialist in London or Manchester, you will benefit from a competitive salary, generous leave policies, and comprehensive health and wellbeing support, all while working in a diverse environment that champions employee growth and development. Join us to make a meaningful impact in the digital marketing landscape and enjoy unique opportunities for career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with digital analytics tools like Google Analytics or Adobe Analytics. This will give you an edge when discussing your capabilities during interviews.
✨Tip Number 3
Prepare for interviews by researching the company and its digital strategy. Be ready to discuss how your analytical skills can help them optimise their digital assets and improve ROI. Tailor your answers to reflect their specific needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Digital Analytics Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Digital Analytics Specialist role. Highlight your marketing analytics background and any relevant tools you've used, like Google Analytics or Adobe Analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about digital analytics and how your experience aligns with our customer-centric vision. Keep it engaging and personal.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've used data to drive decisions or optimise campaigns. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status along the way!
How to prepare for a job interview at Accenture UK
✨Know Your Analytics Tools
Make sure you’re well-versed in the digital analytics tools mentioned in the job description, like Google Analytics and Adobe Analytics. Be ready to discuss your experience with these platforms and how you've used them to drive insights and optimise campaigns.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your analytical skills and your ability to interpret data sets to generate actionable insights. This will demonstrate your problem-solving mindset, which is crucial for this role.
✨Understand the Client's Needs
Research the company and its clients to understand their digital landscape. Be prepared to discuss how you would set strategic visions for digital analytics that align with their marketing and technology goals. This shows that you can think from a client-centric perspective.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to present findings to non-technical stakeholders, so being able to communicate effectively is key. Use examples from your past experiences to illustrate how you’ve done this successfully.
