At a Glance
- Tasks: Lead client relationships and drive analytics income while mentoring junior team members.
- Company: Join a dynamic agency focused on data science and AI with a commitment to inclusivity.
- Benefits: Collaborative work environment, professional development, and opportunities for career growth.
- Other info: Work in the office at least three days a week to foster collaboration.
- Why this job: Make a real impact in analytics and help shape the future of client relationships.
- Qualifications: Experience in analytics, strong leadership skills, and a passion for mentoring.
The predicted salary is between 58500 - 71500 £ per year.
The role is for a leader within the UK Growth Analytics UK team. Working at Principal Consultant level, the role is responsible for:
- Building significant client relationships - analytics often opens the doors to areas of our clients that typically don't get exposed through the media relationship. This role builds and develops those relationships to ensure we have advocacy for our services across our clients.
- Driving analytics income - we have a significant (£7mn+) analytics target across the UK agencies. This role is partly responsible for the target, looking to drive income via Initiative and UM existing clients.
- Taking a leading role for measurement and analytics on pitches, supporting the agencies with answering measurement questions in their RFPs.
- Mentoring and supporting more junior members of the team.
- Ensuring that the quality of our analytics delivery is best in class and answers clients' needs.
To the extent permissible by local law, Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you.
We will process your personal data in accordance with our Recruitment Privacy Notice.
Prinicipal Consultant Growth Analytics in London employer: Initiative
At Initiative, we pride ourselves on being an exceptional employer that champions creativity and inclusivity in a vibrant work environment. Our commitment to employee growth is reflected in our extensive benefits package, including flexible leave, wellness programmes, and opportunities for professional development, all designed to ensure you feel valued and empowered. Join us in our mission to reshape the media landscape while enjoying a supportive culture that celebrates diversity and fosters collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Prinicipal Consultant Growth Analytics in London
✨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 Initiative!
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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 Initiative.
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We think you need these skills to ace Prinicipal Consultant Growth Analytics in 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 Initiative, 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 Initiative. 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 Initiative
✨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 Initiative!
✨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.
