At a Glance
- Tasks: Develop and deliver analytic models to provide insightful recommendations for clients.
- Company: Join a fast-growing global company focused on marketing effectiveness.
- Benefits: Competitive salary, generous leave, flexible working, and a focus on wellbeing.
- Other info: Fantastic office space and opportunities for career development await you.
- Why this job: Make a real impact by solving complex challenges in a dynamic team environment.
- Qualifications: 2+ years in Data Science/Analytics with coding skills in R, Python, or SQL.
The predicted salary is between 40500 - 49500 £ per year.
The role sits within our Analytics Team who work with advertisers to help them get the best returns on their marketing and promotional spend. You’ll be responsible for the development and delivery of analytic models, and interpret commercial data in order to create concise, insightful recommendations.
Key Responsibilities
- To deal professionally and efficiently with clients to get data, explain results, and to ensure they are able to embed Ebiquity recommendations into their business.
- Seek out new business opportunities with the support of the team leaders.
- Support the marketing effectiveness function of Ebiquity.
- Collaborate with a team of modellers, analysts and consultants to deliver best in class actionable insights for Ebiquity clients.
- To act on his/her own initiative to add value to Ebiquity work.
Skills, Knowledge and Expertise
- You will have 2+ years of relevant experience in Computer Science, Data Science/Analytics, Business Intelligence or related quantitative field.
- You will have at least a 2.1 in a relevant degree.
- Coding experience in R, Python, SQL or VBA.
- Strong numerate & analytical skills.
- Familiar with marketing/advertising data.
- Competent with Excel, PowerPoint and Word.
- Proficiency with data visualisation platforms is valued but not essential for the role (PowerBI / Tableau / Looker).
- Organised, detail-oriented, QA-focused.
- Excellent written and verbal skills – English proficiency.
Behaviours and Attitude
- Eager and enthusiastic attitude to problem solving and complex challenges.
- Entrepreneurial spirit to taking on responsibility and delivering work – be proactive and don’t simply wait for the next set of instructions.
- Able to work effectively as part of a large team where colleagues know they can rely on you.
Benefits
We are a global fast-growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you:
- A competitive salary and benefits.
- Generous annual leave including an extra day off for your birthday.
- Fantastic office space in Old Street.
- A company focus on wellbeing and work life balance including initiatives like flexible working, mental health support and regular health and wellbeing events.
Ebiquity aims to create a workplace that is open and supportive, and free of discrimination and prejudice. We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.
Data Analyst - Data Science employer: Ebiquity plc
Ebiquity plc is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a competitive salary, a hybrid work model, and ample opportunities for professional development, employees are empowered to grow their careers while contributing to meaningful projects across Europe. Join us in a culture that values excellence and fosters strong agency relationships, making a significant impact in the media and creative sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Data Science
✨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 Ebiquity plc!
✨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 Data Analyst - Data Science at Ebiquity plc.
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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 Ebiquity plc.
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When you find a suitable opening like Data Analyst - Data Science at Ebiquity plc, 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 Data Analyst - Data Science
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 Ebiquity plc, 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 Ebiquity plc. 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 Ebiquity plc
✨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 Ebiquity plc!
✨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.
