At a Glance
- Tasks: Own digital tracking infrastructure and ensure data accuracy for top retail brands.
- Company: Join a leading global retail group with a dynamic and innovative culture.
- Benefits: Competitive salary, performance bonus, hybrid work model, and career development opportunities.
- Other info: Fast-paced environment with excellent growth potential.
- Why this job: Make a real impact on data-driven decisions for household-name brands.
- Qualifications: 1-3 years of experience with GTM, GA4, and strong communication skills.
The predicted salary is between 40000 - 45000 £ per year.
We are looking for a Digital Analytics Specialist to join a premier multi-brand retail group. This is a high-impact role focused on owning the end-to-end digital tracking infrastructure across a diverse portfolio of web and mobile app properties. You will ensure that data collection is accurate, scalable, and fully privacy-compliant, directly empowering data-driven decisions for household-name brands.
Core Responsibilities:
- Tracking Infrastructure: Own the setup and optimization of Google Tag Manager (GTM) across web and mobile app platforms.
- Cross-Functional Collaboration: Partner with Developers, UX, Product, and Marketing teams to translate business questions into robust technical tagging requirements.
- Mobile App Excellence: Drive mobile analytics using Firebase and GA4, ensuring consistent tracking across the entire customer journey.
- Data Integrity: Conduct regular audits, QA testing, and debugging to ensure high data quality and GDPR compliance.
- Governance: Maintain technical documentation and data layer specifications to standardize practices across multiple business units.
Experience Required:
- Hands-on Technical Skills: Proven experience implementing GTM and GA4. Familiarity with Firebase and BigQuery is highly preferred.
- Stakeholder Management: You must be able to communicate complex technical concepts to non-technical audiences clearly and confidently.
- Detail Orientation: A "leave no stone unturned" approach to debugging and data auditing.
- Adaptability: Comfortable working in a fast-paced, multi-brand environment with shifting priorities.
Digital Analyst employer: Salt Digital Recruitment
Join a forward-thinking Digital Banking team that values innovation and quality, where your expertise as a Quality Assurance Test Engineer will directly impact the delivery of cutting-edge insurance products. With a collaborative work culture that encourages professional growth and the use of advanced AI tools, you'll thrive in an environment that prioritises excellence and continuous improvement. Located in a vibrant area, this role offers unique opportunities to engage with a diverse range of projects while contributing to the success of a company dedicated to enhancing customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst
✨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 Salt Digital Recruitment!
✨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 Digital Analyst at Salt Digital Recruitment.
✨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 Salt Digital Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at Salt Digital Recruitment, 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 Digital Analyst
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 Salt Digital Recruitment, 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 Salt Digital Recruitment. 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 Salt Digital Recruitment
✨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 Salt Digital Recruitment!
✨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.
