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- Tasks: Analyse product performance and develop visualisation prototypes for iGaming clients.
- Company: Join a leading AI and Data Science provider in the booming iGaming industry.
- Benefits: Enjoy hybrid working with one day in the London office and flexible hours.
- Why this job: Be a key player in a dynamic team, driving innovation and client success.
- Qualifications: Degree in Maths, Statistics, or Computer Science; experience in A/B testing and analytics required.
- Other info: Collaborate across teams and present findings to clients in an engaging manner.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a leading provider of AI and Data Science solutions to the iGaming space. A market leader in this area, providing software that delivers real time data driven automations for personalisation - driving performance optimisation and retention rates. They are looking for a proven Data Analyst to join their growing business, seen to be a key stakeholder and central figure internally working between various teams.
Key Responsibilities:
- Analyse the performance of products across multiple client installations.
- Develop new ways to assess the products, building prototypes of how to visualise.
- Propose designs for A/B testing methods.
- Assess and improve the methodologies used in current measurement reporting.
- Carry out analytical projects for key clients.
- Build repeatable analytics around the general performance of key clients.
- Create knowledge base pages to explain measurement approaches.
- Support Product Managers with results presentations to clients.
What They Are Looking For:
- You are comfortable working with a degree of ambiguity and can demonstrate the ability to change and adapt as business scales.
- You have a degree in mathematics, statistics, computer science, engineering or similar.
- You have a strong understanding of Maths, Statistics, and analytical methodologies.
- Experience in analysing marketing activities within the gambling industry.
- Technical understanding and experience of A/B testing.
- Experience with statistical testing methods.
- You are structured in code development and annotation, ensuring usability for others.
- Experienced in developing code to answer analytical questions (there is some flexibility on languages, either Python, SQL, Pyspark or some combination).
- Comfortable presenting to audiences, either internally or externally, with a clear and precise style that can be well-received.
- You have sound interpersonal skills and enjoy collaborating with others.
- You have excellent verbal & written communication and presentation skills, with a well-structured and analytical approach.
- Hybrid working culture, with 1 day per week in Central London office.
Data Analyst - iGaming employer: Firinne Solutions
Contact Detail:
Firinne Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - iGaming
✨Tip Number 1
Familiarise yourself with the iGaming industry and its specific data analytics needs. Understanding the nuances of how data drives performance in this sector will help you stand out during discussions.
✨Tip Number 2
Brush up on your A/B testing methodologies and be prepared to discuss your past experiences with them. Being able to articulate your approach to testing and analysis will demonstrate your expertise.
✨Tip Number 3
Showcase your coding skills by preparing examples of your work in Python, SQL, or Pyspark. Be ready to explain how you've used these languages to solve analytical problems in previous roles.
✨Tip Number 4
Practice your presentation skills, as you'll need to communicate complex data insights clearly. Consider doing mock presentations to friends or colleagues to refine your delivery and receive feedback.
We think you need these skills to ace Data Analyst - iGaming
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly within the iGaming or gambling industry. Emphasise your skills in statistical testing methods and any programming languages you are proficient in, such as Python or SQL.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Data Analyst position and how your background aligns with the company's focus on AI and Data Science solutions. Mention specific projects or experiences that demonstrate your analytical skills and ability to work collaboratively.
Showcase Your Analytical Skills: Provide examples of past analytical projects you've worked on, especially those involving A/B testing or performance optimisation. Use quantifiable results to illustrate your impact and effectiveness in previous roles.
Prepare for Interviews: If selected for an interview, be ready to discuss your analytical methodologies and how you approach problem-solving. Prepare to present your findings from previous projects clearly and concisely, as communication skills are crucial for this role.
How to prepare for a job interview at Firinne Solutions
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with data analysis, particularly in the iGaming or gambling industry. Highlight specific projects where you used statistical methods or A/B testing to drive results.
✨Demonstrate Technical Proficiency
Familiarise yourself with the programming languages mentioned in the job description, such as Python, SQL, or Pyspark. Be ready to discuss how you've used these tools to solve analytical problems in the past.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle ambiguity and adapt to changing business needs. Think of examples from your previous roles where you successfully navigated uncertain situations.
✨Practice Your Presentation Skills
Since the role involves presenting findings to clients and stakeholders, practice explaining complex data insights in a clear and engaging manner. Use visuals if possible to demonstrate your points effectively.
