At a Glance
- Tasks: Deliver analytical projects and manage junior colleagues while simplifying data processes.
- Company: Ebiquity, a leading firm in marketing effectiveness with top-tier clients.
- Benefits: Competitive salary, generous leave, and flexible working options.
- Other info: Join a supportive workplace that values diversity and offers excellent career development.
- Why this job: Apply your analytical skills to real-world problems and grow your career.
- Qualifications: Degree in maths, statistics, economics or data science; R coding skills required.
The predicted salary is between 30000 - 40000 £ per year.
Our team helps clients measure the marketing effectiveness or ROI of their advertising investment. Only candidates with a degree background in maths, statistics, economics or data science will be considered. At least 1 - 2+ years of experience personally or ‘hands-off’ building Market Mix Models (MMM) is essential. Ebiquity have an impressive roster of blue-chip clients in retail, automatic, financial services and FMCG providing excellent career development opportunities for those wishing to apply their technical skills to real world problems.
Key Responsibilities
- Delivering outstanding analytical projects for our customers based upon excellent data exploration, econometric analysis, and interpretation.
- Managing less experienced colleagues and graduates/analysts.
- Create concise, insightful customer communications (presentations, documentations etc).
- Automate and simplify data processing using existing tools and scripting tasks in R.
- Continually accumulate and develop marketing effectiveness knowledge and sector expertise.
- Take responsibility for keeping tasks on deadline and managing client stakeholders.
- Provide clarity in communicating results to clients both verbally and using PowerPoint.
Skills, Knowledge and Expertise
- A degree in a relevant subject (Maths, Statistics, Economics or Data Science).
- Coding skills in R.
- Competent with Excel, PowerPoint and Word.
- A strong desire to learn.
- Be able to communicate in a professional environment.
- Intellectually curious with an open mind, a self-starter, genuinely interested in data.
- A team player, happy working in small groups.
Applicants must have full right to work in the UK.
Benefits
- A competitive salary and benefits.
- Generous annual leave including an extra day off for your birthday.
- Full work from home or hybrid working based in London.
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.
Graduate Analyst employer: Ebiquity plc
Ebiquity is an exceptional employer that fosters a supportive and inclusive work environment, ideal for Graduate Analysts looking to develop their analytical skills in a dynamic team. With a competitive salary, generous annual leave including an extra day off for your birthday, and the flexibility of full remote or hybrid working based in London, employees are empowered to thrive both personally and professionally. The company prioritises employee growth through exposure to blue-chip clients and opportunities to manage projects and mentor less experienced colleagues, making it a rewarding place to build a career in marketing effectiveness.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Analyst
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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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We think you need these skills to ace Graduate 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 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.
