At a Glance
- Tasks: Lead the development of marketing data foundations and enhance performance measurement.
- Company: Join Awaze, a forward-thinking company focused on AI-driven insights.
- Benefits: Enjoy a flexible work environment and great career growth opportunities.
- Other info: Be part of a dynamic team driving innovation in marketing analytics.
- Why this job: Make an impact by translating complex data into actionable strategies.
- Qualifications: Strong marketing analytics experience and advanced SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Awaze is seeking a Marketing Analytics & Data Manager to oversee the development of trusted marketing data foundations. You will ensure scalability and improvement of the data used across various platforms, aiding in performance measurement and decision-making.
The ideal candidate will possess strong marketing analytics experience, advanced SQL skills, and the ability to translate complex data insights into actionable business strategies. A flexible work environment and opportunities for career growth are part of the package.
Marketing Data & Analytics Leader | AI-Driven Insights, Hybrid in Manchester employer: Awaze
Awaze is an exceptional employer that fosters a flexible work environment, allowing you to thrive in a hybrid setting while leading innovative marketing data initiatives. With a strong emphasis on employee growth and development, you'll have access to numerous opportunities to enhance your skills and advance your career in the dynamic field of marketing analytics. Join us to be part of a collaborative culture that values data-driven insights and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data & Analytics Leader | AI-Driven Insights, Hybrid 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 Awaze!
✨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 Marketing Data & Analytics Leader | AI-Driven Insights, Hybrid at Awaze.
✨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 Awaze.
✨Apply Directly through Our Website
When you find a suitable opening like Marketing Data & Analytics Leader | AI-Driven Insights, Hybrid at Awaze, 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 Marketing Data & Analytics Leader | AI-Driven Insights, Hybrid 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 Awaze, 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 Awaze. 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 Awaze
✨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 Awaze!
✨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.
