At a Glance
- Tasks: Deliver analytics projects, implement tracking solutions, and create insightful dashboards.
- Company: Join a dynamic team focused on data-driven decision-making.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Opportunity to mentor junior team members and grow within a supportive team.
- Why this job: Make a real impact by helping clients understand their data and improve their strategies.
- Qualifications: 3+ years in analytics, strong GA4 and Google Tag Manager knowledge.
The predicted salary is between 37800 - 46200 £ per year.
Are you passionate about analytics and enjoy helping businesses understand their data and make better decisions? Do you like getting stuck into technical challenges while working closely with clients to build solutions that deliver real value? We’re looking for a Data Analytics Specialist to join our client’s growing team and help deliver analytics projects for a range of exciting clients. This role would suit someone who enjoys being hands‑on with implementation, building strong client relationships, and taking ownership of projects in a supportive and collaborative environment.
What you’ll be doing:
- Delivering GA4 audits, implementations and measurement strategies for clients
- Designing and implementing tracking solutions, including working with developers on dataLayer requirements
- Configuring and troubleshooting analytics setups using platforms such as Google Tag Manager and Tealium
- Supporting clients with analytics best practice, reporting and measurement frameworks
- Managing analytics projects from planning through to delivery
- Working closely with internal teams and clients to translate business requirements into technical solutions
- Creating dashboards and reports using tools such as Looker Studio
- Supporting the development of junior team members and sharing analytics knowledge
- Staying up to date with the latest analytics platforms, industry trends and best practices
What we’re looking for:
- 3+ years’ experience delivering GA4 implementations and analytics projects
- Strong knowledge of Google Tag Manager and tracking implementation
- Experience with analytics platforms including GA4, BigQuery, Looker Studio, DV360 and/or SA360
- Experience designing measurement strategies and solving tracking challenges
- Understanding of dataLayer implementation and working with developers
- Knowledge of coding languages such as JavaScript, HTML, CSS, jQuery or Python is desirable
- Experience working directly with clients and managing stakeholder relationships
- Strong analytical thinking with the ability to turn data into actionable insights
- A proactive approach with a desire to learn and develop within a growing analytics team
Please note due to high volumes of applications unfortunately we are not always able to respond to all unsuccessful applicants. However we wish everyone who applies the very best with their job search.
Data Analytics Specialist in Manchester employer: The Candidate Ltd
The Candidate Ltd is an excellent employer, offering a vibrant work culture in Greater Manchester that fosters creativity and collaboration. With a focus on employee growth, the company provides ongoing development opportunities and a comprehensive benefits package, including private healthcare, making it an attractive place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Specialist in Manchester
✨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 The Candidate Ltd!
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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 The Candidate Ltd.
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We think you need these skills to ace Data Analytics Specialist in Manchester
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 The Candidate Ltd, 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 The Candidate Ltd. 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 The Candidate Ltd
✨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 The Candidate Ltd!
✨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.
