At a Glance
- Tasks: Shape marketing data strategies and optimise analytics solutions for clients.
- Company: Dynamic marketing agency with a focus on innovation and client success.
- Benefits: Private medical insurance, pension, 28 days leave, and a cycle scheme.
- Other info: Hybrid work model with opportunities for professional growth.
- Why this job: Join a team that drives impactful marketing insights and data-driven decisions.
- Qualifications: 3+ years in analytics, GTM, or related fields; Bachelor's degree required.
The predicted salary is between 36000 - 60000 £ per year.
Have hands-on expertise in marketing performance reporting and data operations.
Be able to identify patterns and anomalies in datasets easily.
Have a very good grasp of collecting, processing and analysing large scale media data.
Understand data infrastructure and data operations.
Job Responsibilities:
- You will provide deep expertise in shaping marketing data strategies.
- You will help clients migrate from Universal Analytics to GA4, implement advanced GTM (Google Tag Manager) solutions including data layer setup, configure data structures and pipelines for our clients, as well as customise their platforms with client data or technology.
- This will include:
- Consult on marketing analytics solutions
- Deployment and maintenance
- Marketing data flow planning
- Training clients to optimise use of Analytics data
- Development of new data-driven marketing capabilities will be an integral part of your responsibilities.
- You will also help define and design highly accessible and actionable media and sales information and insights (reports) for executives of all levels to track Key Performance Indicators (KPIs) and gather insights on their marketing performance.
- This will include:
- Dashboard design, build and maintenance
- Working with systems such as Google Data Studio, Adobe Experience Cloud, Tableau & Power BI
- You will use knowledge of analytics solutions, tools and data platforms to scope, deliver and optimize client solutions to the highest standards.
Minimum Requirements:
- 3 years of experience in Analytics / GTM / data operations, reporting, dashboarding, or a related business intelligence practice.
- Experience with GA4, server-side reporting, and GTM server setup is highly desirable.
- Experience of working in a marketing agency is highly desirable.
- Experience in campaign performance reporting or programmatic performance reporting is highly desirable.
- Strong functional understanding of data and data infrastructure.
- Candidates must have at least a Bachelor’s Degree.
We offer:
- Private medical insurance
- Private pension
- 28 days annual leave
- Cycle scheme
Analytics, Tag Management, Data and Reporting Specialist employer: AccuraCast
Join a forward-thinking company that values innovation and expertise in the heart of Central London. As an Analytics, Tag Management, Data and Reporting Specialist, you will thrive in a collaborative work culture that prioritises employee growth through continuous training and development opportunities. Enjoy a comprehensive benefits package including private medical insurance, a generous pension scheme, and 28 days of annual leave, all while working in a hybrid environment that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics, Tag Management, Data and Reporting Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AccuraCast!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics, Tag Management, Data and Reporting Specialist at AccuraCast.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AccuraCast.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics, Tag Management, Data and Reporting Specialist at AccuraCast, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics, Tag Management, Data and Reporting 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 AccuraCast, 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 AccuraCast. 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 AccuraCast
✨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 AccuraCast!
✨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.
