At a Glance
- Tasks: Analyse consumer insights to drive impactful strategies and creative solutions.
- Company: BAMM, a vibrant agency blending strategy, creativity, and research.
- Benefits: Collaborative environment, exposure to global teams, and opportunities for personal growth.
- Other info: Fast-paced role with a focus on learning and development.
- Why this job: Join a dynamic team and make a real difference in brand strategies.
- Qualifications: 1+ year in quantitative market research and a passion for brands.
The predicted salary is between 30000 - 40000 £ per year.
Are you looking for a stimulating role with smart people who uniquely bridge the worlds of consumer insight, strategy and creativity? BAMM is an agency that makes things happen for clients. We believe in a bespoke combination of different approaches and disciplines combined to deliver vibrant, strategic Living Insight. Living Insight is generated from real life context, behaviour and emotions. It has lasting influence and impact long after the final slide, word or image has left the screen. We are strategists, researchers, designers, photojournalists, ethnographers, data scientists and film-makers who harness creativity to deliver vibrant, influential and impactful results for our clients.
The role of Insights Analyst will be based in our Shoreditch office but will interact with both the London and New York teams. You'll be an organised, conscientious and detail oriented individual, looking for a challenging and fast paced role in a dynamic and hard-working environment.
Requirements
- Min 1yr’s experience in Quantitative market research working agency side
- Exceptional team player who values trust, listening and understanding
- Deep interest and curiosity in brands
- Adaptable and problem solving
- Voracious learner who consistently pushes for quality
- Strong attention to detail
- A self-starter who is keen to challenge themselves
- Passion for research and proven interest in qual and quant
Insight Analyst employer: BAMM
BAMM is an exceptional employer that fosters a vibrant and collaborative work culture, where creativity meets strategy in the heart of Shoreditch. With opportunities for professional growth and development, employees are encouraged to push boundaries and explore their passions in a dynamic environment alongside talented colleagues from diverse backgrounds. The agency's commitment to impactful insights ensures that every team member plays a vital role in delivering meaningful results for clients, making it a rewarding place to build a career.
StudySmarter Expert Advice🤫
We think this is how you could land Insight 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 BAMM!
✨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 Insight Analyst at BAMM.
✨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 BAMM.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Analyst at BAMM, 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 Insight 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 BAMM, 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 BAMM. 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 BAMM
✨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 BAMM!
✨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.
