At a Glance
- Tasks: Transform data into insights to enhance digital marketing strategies and user experiences.
- Company: Join Accenture, a global leader in professional services with a culture of innovation.
- Benefits: Competitive salary, flexible work policies, 30 days leave, and health benefits.
- Other info: Dynamic team environment with opportunities for career growth and community involvement.
- Why this job: Make a real impact by advising clients on digital strategies using cutting-edge analytics.
- Qualifications: Experience in digital analytics, strong analytical skills, and proficiency in analytics tools.
The predicted salary is between 56700 - 69300 £ 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.
- Position: Data Analytics Consultant
- Career Level: Specialist (L9)
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.
Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.
“Across the globe, one thing is universally true of the people of
Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live.
It is personal to all of us.” – Julie Sweet, Accenture CEO
Imagine being part of 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 data Layer 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.
Skills Profile
- 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, Content Square, 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.
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. 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.
- SNGCR01
- #J-18808-Ljbffr
Digital Analytics Specialist employer: Accenture UK & Ireland
Accenture is an exceptional employer that champions a culture of innovation and inclusivity, making it an ideal place for a Digital Analytics Specialist to thrive. With a commitment to employee growth through comprehensive career development programmes, generous leave policies, and a supportive work environment, Accenture empowers its team members to make a meaningful impact on clients and communities alike. Located in vibrant cities like London and Manchester, employees enjoy access to diverse opportunities and a dynamic professional landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Specialist
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We think you need these skills to ace Digital Analytics Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Accenture UK & Ireland, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Accenture UK & Ireland. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Accenture UK & Ireland
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Accenture UK & Ireland!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.