At a Glance
- Tasks: Provide data-driven insights to optimise marketing strategies and maximise pipeline impact.
- Company: Join Workday, a leader in SaaS marketing with a focus on analytics.
- Benefits: Flexible working schedule and opportunities for in-person collaboration.
- Why this job: Make a significant impact in a dynamic marketing environment with your analytical expertise.
- Qualifications: 10+ years in analytics and a strong understanding of SaaS marketing.
The predicted salary is between 70000 - 90000 £ per year.
Workday is seeking an experienced Advisory and Analytics Expert to join the EMEA Marketing team. You will provide data-driven recommendations, maximize pipeline impact, and optimize strategies through your insights.
The ideal candidate will have 10+ years in analytics, a deep understanding of SaaS marketing, and analytical excellence. The role offers a flexible working schedule, with at least 50% time spent in-person.
EMEA Marketing Analytics Lead in London employer: Workday
Workday is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to make a significant impact in the EMEA Marketing team. The flexible working schedule allows for a healthy work-life balance, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land EMEA Marketing Analytics Lead in London
✨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 Workday!
✨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 EMEA Marketing Analytics Lead at Workday.
✨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 Workday.
✨Apply Directly through Our Website
When you find a suitable opening like EMEA Marketing Analytics Lead at Workday, 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 EMEA Marketing Analytics Lead in London
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 Workday, 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 Workday. 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 Workday
✨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 Workday!
✨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.
