At a Glance
- Tasks: Lead data-driven initiatives and transform insights into actionable strategies.
- Company: Gain Theory, a global marketing consultancy with a people-centric culture.
- Benefits: Flexible work environment, brilliant benefits, and opportunities for growth.
- Other info: Join a dynamic team that values curiosity, positivity, and collaboration.
- Why this job: Make a real impact by guiding business decisions through data analytics.
- Qualifications: Strong leadership skills and a deep understanding of analytics techniques.
The predicted salary is between 55000 - 65000 £ per year.
Analytics Manager is required to join our team and drive our data analytics function. In this role, you will be responsible for leading data-driven initiatives, delivering insights that guide business decisions, and managing an analytics programme dedicated to transforming data into actionable insights. As an Analytics Manager, you will have a deep understanding of analytics techniques, strong leadership skills, and the ability to communicate complex data findings to both technical and non-technical stakeholders.
The Opportunity
- You will be working across a set of clients and support Directors motivate and inspire.
- Assign team members with tasks that allow them to meet their personal goals and objectives.
- Assist team members in interpreting the tasks they have been set.
- Facilitate problem solving and collaboration.
- Intervene when necessary to aid the group in resolving issues.
- Identify and acknowledge team members' individual strengths and nurture skills to the benefit of the team.
- Ensure that any staff experiencing performance difficulties are managed appropriately and work to identify measures that could be used to improve performance.
- Identify training and development needs jointly with team members and their personal managers.
- Take responsibility for identifying talented professionals on your team, passing on this information to the project lead and their personal manager.
- Start to take responsibility for creating an environment oriented to trust, open communication, creative thinking, and cohesive team effort.
- Provide the team with a vision of the project objectives; initially support may be required from more senior members in the team.
Business Development:
- New business development, client retention, business development planning, management and research.
- Support client leads in achieving revenue targets.
- Support client leads in achieving revenue targets and with tasks relating to pitch material creation or internal product and services collateral.
What We Pride Ourselves On
- Growth and development
- Meaningful work
- Flexible by design
- Brilliant benefits
- Culture with Heart
Our exceptional and skilled team defines Gain Theory. That's why we seek individuals who strive for excellence and continually challenge us to improve.
What We Do
Gain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology are used to power our award-winning solutions.
As a WPP consultancy, Gain Theory also has access to a range of data, expertise, and tools that create a truly differentiated offering. Gain Theory is a WPP agency (NYSE: WPP).
Who We Are
We are a people-centric organisation whose culture is underpinned by 4 important values: Be Curious, Be Positive, Make it Better and Act with Consideration. We channel these values through our behaviours, in the way we work, and in the interactions we have with each other and our clients.
WPP (Gain Theory) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Analytics Manager employer: VML
At VML Live, we pride ourselves on being a leading employer in the dynamic world of Formula 1 hospitality, offering our employees unparalleled opportunities for growth and innovation. Based in our vibrant London HQ, you will be part of a collaborative culture that champions excellence and creativity, while also benefiting from a diverse and inclusive workplace that values every team member's contributions. Join us to not only elevate your career but also to shape unforgettable experiences in one of the most exciting sports globally.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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✨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 VML.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Manager
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 VML, 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 VML. 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 VML
✨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 VML!
✨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.
