At a Glance
- Tasks: Lead GA4 implementations and audits, collaborating with clients and developers.
- Company: Join Fabric Analytics, a dynamic agency transforming businesses through data-driven insights.
- Benefits: Enjoy hybrid working, a supportive culture, and opportunities for professional growth.
- Other info: Work in a fast-paced environment that values curiosity and continuous improvement.
- Why this job: Be part of an exciting startup with a focus on client success and innovation.
- Qualifications: 2+ years in Google Analytics 4, with hands-on experience in data implementation.
The predicted salary is between 36000 - 60000 £ per year.
Direct message the job poster from Fabric Analytics
Helping businesses with all things GA4 and website experience (CRO)
The Role
You’ll be the 21st person in to exciting start up with high growth expectations working directly for our analytics lead.
We are looking to hire an Analytics Manager with experience of implementing tracking and reporting solutions for Google Analytics 4.
Key responsibilities
- Work with clients to create and define their approach to measurement
- Complete audits for new business meetings and then full configurations for GA 4 for our clients
- Work directly with the client developers to help implement dataLayer schemas that you create
- Implement and configure GA 4 through a variety of tag management systems including Google Tag Manager and Tealium
- Own 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.
- Experience in technical delivery of Google Analytics 4, including typically a minimum of 2 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, BigQuery, 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
We want to be your partner in navigating this ever changing and complex data ecosystem. Our data enablement approach allows you to turn users into customers
The co founders 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
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Research, Analyst, and Information TechnologyIndustries
Technology, Information and Internet
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#J-18808-LjbffrAnalytics Manager (GA4) in Manchester employer: Fabric Analytics
At Fabric Analytics, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a rapidly growing start-up in Manchester, we offer our employees the chance to make a significant impact while enjoying a hybrid working model that promotes work-life balance. With a strong focus on professional development and a commitment to client success, we empower our team members to thrive in their careers and embrace the evolving landscape of data analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager (GA4) in Manchester
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We think you need these skills to ace Analytics Manager (GA4) 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!
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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!
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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.
