At a Glance
- Tasks: Join our team to manage daily operations in the exciting world of sports betting.
- Company: Dynamic company with a collaborative culture and a passion for football.
- Benefits: Competitive salary, performance bonuses, health insurance, and flexible hours.
- Other info: Enjoy free snacks, regular socials, and opportunities for career advancement.
- Why this job: Dive into data, solve problems, and grow your career in a vibrant environment.
- Qualifications: Basic Excel skills and a love for data; experience in data inputting is a plus.
The predicted salary is between 30000 - 40000 £ per year.
As the company continues to expand, we are looking for an energetic individual with a basic understanding of betting processes to join our Operations team in our London office. The successful applicant will have a love of data, with a keen eye for detail and a proactive approach that will assist our team in achieving their targets.
Key Responsibilities
- Executing day-to-day operational tasks within a sports betting focused team.
- Recording and analysing live betting and transactional data, ensuring consistency across our data sources.
- Investigating discrepancies between actual and recorded data.
- Supporting the team in resolving and settling betting markets.
- Ensure the wider team has a good understanding of the accuracy and completeness of the data available and be able to communicate any issues concisely and efficiently.
- Communicate with both internal and external third parties to resolve discrepancies in recorded data.
- Effectively utilise and handle funds to increase betting capacity.
Skills, Knowledge and Expertise
- A working knowledge of Excel; understanding of lookups, sumifs, import ranges and other functional formulae a bonus.
- Comfortable working with multiple types of (sometimes unstructured) spreadsheets.
- Experience with data inputting, either in employment or education a big plus.
- A focused and diligent work ethic under pressure.
- Organised and proactive with the ability to work to short deadlines and adhere to strict operational processes.
- Ability to balance a variety of tasks at once, managing time proficiently.
- A logical approach to work and meticulous attention to detail.
- Comfortable working 5 days per week in the office.
- Knowledge of football betting markets and operators.
- Experience with cryptocurrency (preferred).
- Willingness to work irregular shift patterns (including weekends).
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- Comprehensive training in trading strategies, market dynamics, and tools.
- Opportunities for career growth in a dynamic and exciting industry.
- A collaborative work environment surrounded by football enthusiasts and data experts.
- Flexible working hours, particularly during the football calendar.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in every day and lunch bought in twice a week.
- Free coffee & snacks at the office.
- Regular team events & socials.
Junior Operations Executive employer: White Swan Data
Join our vibrant London office as a Junior Operations Executive, where you'll be part of a collaborative team passionate about sports betting and data analysis. We offer comprehensive training, flexible working hours, and numerous employee benefits, including private health insurance and regular team events, all within a flat organisational structure that encourages your ideas and growth in this dynamic industry.
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We think this is how you could land Junior Operations Executive
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Junior Operations Executive
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at White Swan Data. 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 White Swan Data
✨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!
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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
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✨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.
