At a Glance
- Tasks: Lead analytics projects and implement cutting-edge solutions for diverse clients.
- Company: Dynamic agency focused on data-driven decision-making and client success.
- Benefits: Competitive salary, mentorship opportunities, and a chance to shape agency growth.
- Other info: Join a supportive team with opportunities for leadership and professional development.
- Why this job: Make a real impact by delivering innovative analytics solutions and building strong client relationships.
- Qualifications: 4-6+ years in analytics, strong GA4 and Google Tag Manager experience.
The predicted salary is between 51750 - 63250 £ per year.
Are you passionate about data, measurement, and helping businesses make smarter decisions? Do you enjoy combining technical expertise with client consultancy to create solutions that genuinely drive impact? We’re looking for an Analytics Senior Manager to join our clients growing team and play a key role in delivering exceptional analytics solutions for a diverse range of clients at their agency. This is a great opportunity for someone who enjoys being hands-on technically, building strong client relationships and helping shape how an agency grows.
What you'll be doing:
- Leading GA4 audits, implementations and measurement strategies for clients
- Designing tracking solutions and working with developers on dataLayer implementations
- Configuring analytics through platforms including Google Tag Manager and Tealium
- Building trusted relationships with clients and acting as a strategic partner
- Delivering complex technical analytics projects across a range of industries
- Supporting and developing a small team through leadership and mentoring
- Keeping ahead of the latest developments and best practices in analytics and data
What we're looking for:
- 4-6+ years’ hands‑on experience delivering advanced GA4 implementations
- Strong experience with Google Tag Manager and dataLayer implementation
- Experience across analytics technologies including GA4, BigQuery, Looker Studio, DV360 and/or SA360
- A track record of delivering technically complex projects for clients
- Knowledge of coding languages such as JavaScript, jQuery, HTML, CSS or Python
- Experience managing client relationships and working as a trusted advisor
- Experience leading, mentoring or managing others
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.
Senior Analytics Manager 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 Senior Analytics Manager 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!
✨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 Senior Analytics Manager at The Candidate Ltd.
✨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 The Candidate Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Manager at The Candidate Ltd, 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 Senior Analytics Manager 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.