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- Tasks: Transform organisations using data to enhance digital marketing strategies and user experiences.
- Company: Accenture, a global leader in professional services with a focus on innovation and inclusion.
- Benefits: Competitive salary, flexible work policies, 30 days leave, and health benefits.
- Other info: Opportunities for career development and a supportive work environment.
- Why this job: Join a dynamic team making a real impact in the digital analytics space.
- Qualifications: Experience in digital analytics, strong analytical skills, and proficiency in analytics tools.
The predicted salary is between 55000 - 65000 £ per year.
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity.
Imagine being part of a team that helps transform leading organizations and communities around the world! You will have 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 our 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 optimization.
- 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 maximizing ROI.
- Work with multiple teams across MMM project from the business and internal analytics teams.
- Data Collection and Preparation: Gathering and cleaning data from various sources to ensure it is ready for analysis. This involves working with large datasets and ensuring data quality and consistency.
- MMM Model Development: Assisting in the development and validation of marketing mix models. This includes 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.
- Strong experience in digital analytics or similar role, preferably in a retail or e-commerce environment.
- Advanced understanding of matrixed organizations and comfortable in managing cross functional teams.
- Skilled in digital analytics & experience analytics platforms (e.g. Google Analytics, Adobe Analytics, ContentSquare, Decibel etc.)
- Experience in 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 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.
Digital Analytics Specialist in Manchester employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Analytics Specialist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and think about how your skills align with their needs. We want you to shine when it’s your turn to impress!
✨Tip Number 3
Showcase your skills through real-world examples. Whether it’s a project or a case study, we love seeing how you’ve used data to drive decisions. Make sure to highlight your analytical prowess!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who fit our culture.
We think you need these skills to ace Digital Analytics Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Digital Analytics Specialist role. Highlight your experience with digital analytics tools and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention any specific experiences that relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills: In your application, don't forget to showcase your analytical skills. Provide examples of how you've used data to drive decisions or improve processes in previous roles. We love seeing how you think and solve problems!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, we can't wait to see what you bring to the table!
How to prepare for a job interview at Accenture
✨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 improvements in past roles.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical skills and problem-solving mindset. Think of specific challenges you've faced in previous projects and how you approached them, especially in a digital marketing context. This will demonstrate your ability to think critically and adapt.
✨Understand the Client-Centric Approach
Accenture values a customer-centric vision, so be prepared to discuss how you’ve used data to enhance user experiences or improve client outcomes. Share any relevant case studies or experiences where your insights led to tangible results for clients.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present findings to non-technical stakeholders, practice explaining complex data insights in simple terms. Use relatable examples to illustrate your points, showing that you can bridge the gap between technical analysis and business strategy.