At a Glance
- Tasks: Shape the future of data and analytics by developing commercial strategies.
- Company: Join CME Group, a leader in financial markets and innovation.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be at the forefront of data strategy and make a real impact.
- Qualifications: Strong analytical skills and a knack for legal writing.
The predicted salary is between 70000 - 90000 £ per year.
CME Group is seeking a Data and Analytics Commercial & IP Strategy Analyst to sit at the intersection of Licensing, Policy and Legal.
You will help future‑proof the commercial structures that govern CME’s proprietary data and analytics products.
You will work with the Licensing and Policy team to develop commercial constructs maximizing global reach, ensuring policies are legally sound and commercially intuitive for clients.
This role blends legal writing with a business‑first mindset.
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Data & Analytics Commercial Strategist — IP & Policy employer: CME Group
CME Group is an exceptional employer that prioritises innovation and employee development, particularly in the role of API-First Data & Analytics Leader. With a strong focus on cloud technologies and a collaborative work culture, employees benefit from a comprehensive bonus program, equity options, and private healthcare, all while enjoying the flexibility of hybrid working arrangements. This dynamic environment not only fosters technical growth but also encourages meaningful contributions to enhancing customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Commercial Strategist — IP & Policy
✨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 CME Group.
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We think you need these skills to ace Data & Analytics Commercial Strategist — IP & Policy
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 CME Group, 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 CME Group. 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 CME Group
✨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 CME Group!
✨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.
