At a Glance
- Tasks: Lead analytics projects, implement GA4, and shape client strategies with data-driven insights.
- Company: Join Fabric Analytics, a fast-growing agency passionate about data and client success.
- Benefits: Enjoy hybrid working, a supportive culture, and opportunities for professional growth.
- Other info: Be part of a family-like team dedicated to innovation and client performance.
- Why this job: Make a real impact in a dynamic start-up environment with industry experts.
- Qualifications: 5+ years in analytics, expert in GA4, and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
Are you passionate about data and ready to make an impact in a fast-paced, high-growth environment?
At Fabric Analytics, we’re a dedicated Analytics and CRO agency specialising in helping clients weave data into the heart of their business strategies.
From data collection and measurement to privacy and activation, we primarily leverage the Google Marketing Platform to drive value for our clients.
As a Senior Analytics Manager, you’ll be joining a new role in an exciting start-up environment as the 22 nd team member, working directly with two of the most experienced practitioners of the Google Marketing Platform in the UK.
This is a unique opportunity to help shape the future of our agency and deliver excellence for a diverse portfolio of clients.
Key responsibilities
- Work with clients to create and define their approach to measurement
- Complete audits for new business meetings and then full configurations for GA4 for our clients
- Work directly with the client developers to help implement data Layer schemas that you create
- Implement and configure GA4 through a variety of tag management systems including Google Tag Manager and Tealium
- Own and manage client relationships and operate as a partner to them vs a supplier
- Keep up to date with the latest industry trends, new developments and innovations within the web analytics and data space
- What we are looking for in you
- We want someone who is a self-starter, passionate, diligent and curious to power our clients’ businesses forward.
- Comfortable leading a small team to support you delivering for clients.
- Experience in technical delivery of Google Analytics 4, including typically a minimum of 5 years; operating at an expert level.
- Experience in the Analytics field; breadth of vision gained from extensive hands on technical implementation including using technology such as Google Tag Manager, GA4, Big Query, Looker studio, DV360 and SA360.
- Be hungry to deliver excellence for our clients
- Our culture
- Put clients first, curious, passionate and transparent
- Hybrid working (3 days a week) but family feel dedicated to constant improvements
- Fast past, exciting and a hunger to drive client performance
- We listen to our teams and embrace evolution
- About Fabric
We are a dedicated analytics agency that specialise in helping our clients weave data into the heart of their business.
We focus on data collection, measurement, privacy and activation primarily using the Google Marketing Platform.
Data enablement is the practice of empowering your business to understand and harness the power of data and analytics.
- The co-founders of Fabric built and scaled the largest reseller and service partner in the UK with over 150+ GA 360 licenses and £1billion+ annual spend through SA and DV 360 and now they’re looking to grow the agency in this way again whilst delivering outstanding value to clients.
- #J-18808-Ljbffr
Senior Manager Analytics employer: Fabric Analytics
Fabric Analytics is an exceptional employer that fosters a collaborative and innovative work culture, where your expertise in analytics will directly impact a diverse range of clients. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to lead a dedicated team in a fast-paced environment, all while being part of a forward-thinking agency located in the vibrant UK market.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager Analytics
✨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 Fabric Analytics!
✨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 Manager Analytics at Fabric Analytics.
✨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 Fabric Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Manager Analytics at Fabric Analytics, 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 Manager Analytics
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 Fabric Analytics, 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 Fabric Analytics. 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 Fabric Analytics
✨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 Fabric Analytics!
✨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.
