At a Glance
- Tasks: Analyse data to optimise paid search campaigns and drive client success.
- Company: Join a people-first agency that values creativity and teamwork.
- Benefits: Enjoy a fun work environment, competitive pay, and opportunities for growth.
- Other info: Great career development opportunities in a vibrant media department.
- Why this job: Be part of a dynamic team that celebrates creativity and innovation every day.
- Qualifications: Passion for data, strategic thinking, and a collaborative spirit.
The predicted salary is between 30000 - 42000 £ per year.
Role Purpose We’re looking for creative, strategic thinkers who relish the challenge that this role represents, who aren’t afraid of trying something new and different and who have a passion to learn, be inquisitive, think bigger and bolder. Jaywing is a people-first agency and the person we are looking for must have a passion for being a part of a team. We celebrate each other every day and always champion an individual for who they are. You’ll be part of a dynamic, driven and fun Media department who thrive on achieving great things together whilst having a lot of fun on the way. As a data-powered agency, a passion for data and the power of insight is key to the role, and this role represents an amazing opportunity to join a business that is leveraging data science in so many creative ways to power our clients’ performance. The Paid Search Analyst will support the development
Paid Search Analyst employer: Jaywing
At Jaywing in Leeds, we pride ourselves on being an excellent employer that fosters a dynamic and collaborative work culture. Our commitment to employee growth is reflected in our competitive benefits package, including 25 days of holiday that increase with tenure, and opportunities to work with cutting-edge AI technologies in SEO. Join us to be part of a forward-thinking team where your contributions directly impact client success and your professional development is a priority.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Search 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 Jaywing!
✨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 Paid Search Analyst at Jaywing.
✨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 Jaywing.
✨Apply Directly through Our Website
When you find a suitable opening like Paid Search Analyst at Jaywing, 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 Paid Search 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 Jaywing, 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 Jaywing. 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 Jaywing
✨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 Jaywing!
✨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.
