At a Glance
- Tasks: Transform complex data into actionable insights for a major sports league.
- Company: Global financial services consultancy with a focus on innovation.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Join a dynamic team and influence marketing strategies in the sports industry.
- Qualifications: Strong SQL and Python skills, analytical mindset, and a passion for sports.
The predicted salary is between 75000 - 85000 £ per year.
A global financial services consultancy is seeking a Data Analyst to provide analysis to one of the world’s largest sports leagues. In this role you’ll turn large, complex B2C datasets into clear insights that shape marketing in the future. You’ll use SQL & Python and build the analysis and recommendations.
Responsibilities:
- Write SQL and Python to extract correct and informative marketing datasets.
- Interpret data into clear and concise formats with recommendations for stakeholders.
- Build dashboards and recurring reports on growth on new potential markets.
- Monitor campaign and go-to-market (GTM) performance.
- Provide regular performance updates for team leads and senior stakeholders.
- Support segmentation that helps regional teams understand their engagement in different markets.
- Build reporting and track performance of consumers against growth goals.
- Work with marketing, international and data engineering teams to gather and document business requirements.
- Liaise with third-party partners on data needs and definitions.
Requirements:
- Solid experience of SQL skills, including complex joins, aggregations and window functions.
- Strong analytical and problem-solving skills.
- Ability to explain technical findings clearly to non-technical marketing audiences.
- Proficiency in Python for data analysis (e.g., pandas, NumPy).
- Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Business or a related field, or equivalent experience.
- Hands-on experience with at least one cloud data platform: Databricks, AWS or Snowflake.
- Experience with BI and visualisation tools (e.g., Tableau, Power BI, Looker).
- Experience of working with marketing, CRM or customer analytics.
- Passion for sport and an understanding of global fan cultures would be an advantage.
Data Analyst in London employer: EMR Marketing Recruitment
As a leading B2B financial services provider based in London, we pride ourselves on fostering a dynamic work culture that encourages creativity and collaboration. Our employees benefit from competitive salaries, opportunities for professional growth, and a supportive environment that values innovation and strategic thinking. Join us to make a meaningful impact in the insurance sector while enjoying the vibrant lifestyle that London has to offer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 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 EMR Marketing Recruitment!
✨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 Data Analyst at EMR Marketing Recruitment.
✨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 EMR Marketing Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at EMR Marketing Recruitment, 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 Data Analyst 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 EMR Marketing Recruitment, 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 EMR Marketing Recruitment. 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 EMR Marketing Recruitment
✨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 EMR Marketing Recruitment!
✨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.
