At a Glance
- Tasks: Analyse social data to uncover insights and trends for P&G brands.
- Company: Join Publicis Groupe, a leader in marketing and communications.
- Benefits: Starting salary of £28,860, mentorship, and flexible work options.
- Other info: Great opportunity for early career development in a supportive environment.
- Why this job: Kickstart your career in data analytics with hands-on experience and training.
- Qualifications: Passion for data analysis and willingness to learn Python.
The predicted salary is between 31050 - 37950 £ per year.
Publicis Groupe — PG One in London is hiring a Junior Data Analyst to process public social data, extract themes, sentiment, volume and share of voice for P&G brands.
The role includes exploring Python and automation to simplify repetitive tasks and offers training with a mentor.
Starting annual salary is £28,860 under The Pack, with four days a week in the office or client sites. The program supports early career development in data analytics.
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Junior Data Analyst - Social Insights & Automation (Mentored) in City of London employer: EduBard
Sierra is an exceptional employer for new graduates, offering a dynamic work environment in London where innovation thrives. With a strong emphasis on employee growth, you will have the opportunity to engage in meaningful projects that shape the future of AI technology while benefiting from a collaborative culture that values communication and creativity. Our commitment to continuous learning ensures that you will develop your skills alongside industry experts, making this an ideal place to launch your career.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst - Social Insights & Automation (Mentored) in City of London
✨Get Involved in Data Science Meetups
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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 EduBard.
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We think you need these skills to ace Junior Data Analyst - Social Insights & Automation (Mentored) in City of 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 EduBard, 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 EduBard. 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 EduBard
✨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 EduBard!
✨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.
