LiveScore Group Research Analyst interview questions & guide 2026

The interview process at LiveScore Group is designed to evaluate both your technical mastery and your alignment with the company’s strategic goals. The following questions are representative of the patterns you will encounter during your assessment.

Technical and Domain Proficiency

These questions test your ability to handle data and your understanding of the industry-specific variables that influence the business.

• Talk me through your analytics experience.
• How do you approach probability problems in the context of sports betting?

Success at LiveScore Group requires a balanced preparation strategy. You must demonstrate that you are not only technically capable but also commercially aware.

Analytical Rigor – You will be expected to demonstrate deep proficiency in SQL and statistical analysis. Be prepared to explain your methodology for data cleaning, interpretation, and visualization during your technical assessments.

Business Acumen – It is not enough to find the answer; you must understand why that answer matters to the business. Focus on how your insights can drive retention, increase user engagement, or optimize revenue.

Communication Clarity – You will often present your work to senior stakeholders. Practice structuring your findings so that the "so what" is immediately clear to the audience.

The interview process at LiveScore Group is structured to be comprehensive yet transparent, typically involving a blend of screening calls, technical assessments, and a final presentation. You should expect a process that prioritizes evidence-based performance; you will be asked to demonstrate your skills rather than just talk about them. The culture is collaborative, and interviewers look for candidates who are intellectually curious and eager to contribute to a fast-paced sports-tech environment.

This timeline illustrates the progression from initial screening to final team engagement. Candidates should interpret these stages as an opportunity to demonstrate progressive levels of depth, moving from general background to specific technical application and finally to strategic presentation. Plan your preparation to ensure you have clear, well-structured examples ready for each stage of this journey.

Technical Assessment (SQL and Data Analysis)

This is the core of the evaluation. You will be tested on your ability to write efficient queries and perform robust data analysis.

• SQL Proficiency – Expect practical tests involving complex joins, subqueries, and window functions.
• Data Interpretation – You will likely receive a dataset and be asked to derive meaningful business insights.
• Probability and Logic – Familiarize yourself with basic probability concepts as they apply to sports and betting markets.

As a Research Analyst, you will be responsible for the end-to-end analytical lifecycle. This includes gathering requirements from stakeholders, extracting and cleaning data, performing deep-dive analysis, and creating visual dashboards or reports that inform strategic roadmaps. You will work in a highly collaborative environment, often acting as a bridge between the technical engineering teams and the business-focused product and strategy teams.

Expect to spend a significant portion of your time on ad-hoc analysis to support ongoing projects, as well as developing long-term monitoring systems to track key performance indicators (KPIs). You will be an active participant in team discussions, where your ability to challenge assumptions with data will be highly valued.

A strong candidate for this role possesses a mix of technical rigor and a passion for sports data.

• Must-have skills:

  • Advanced SQL skills (essential for data extraction).
  • Proven experience in data visualization and storytelling (e.g., Tableau, PowerBI, or similar tools).
  • Strong analytical mindset with experience in retention or product analytics.
  • Excellent communication skills for presenting to non-technical stakeholders.

• Nice-to-have skills:

  • Prior experience in the sports betting or gaming industry.
  • Familiarity with statistical modeling or predictive analytics.
  • Knowledge of Python or R for advanced data manipulation.

Q: How much time should I spend preparing for the take-home task? A: You should allocate enough time to not only complete the analysis but to polish the presentation. Quality and clarity are more important than complexity; ensure your insights are actionable.

Q: Is the interview process difficult? A: Candidates generally describe the process as challenging but fair. The difficulty lies in the combination of technical testing and the requirement to think strategically about the business.

Q: What is the company culture like? A: The culture is described as professional and collaborative. There is a strong emphasis on data-driven decision-making and a genuine interest in the sports landscape.

Q: How long does the entire process take? A: The timeline varies, but typically spans a few weeks. The process is efficient, and you can expect clear communication between rounds.

• Understand the Product: Spend time using the LiveScore Group apps before your interview. Understanding the user experience will give you a significant advantage when discussing retention and engagement.
• Be Ready to Pivot: During your final presentation, be prepared to answer follow-up questions about your methodology. If asked "what if" scenarios, explain your thought process clearly.
• Align with Values: Research the company’s public-facing values and be ready to provide specific examples of how your past work reflects those principles.
• Ask Thoughtful Questions: Use the time at the end of your interviews to ask about the team’s current challenges. This shows you are already thinking like a member of the team.

The Research Analyst role at LiveScore Group offers a unique opportunity to shape the future of sports media through data. By mastering the technical requirements and demonstrating a clear, strategic mindset, you position yourself as a strong candidate for this impactful position. Remember to focus on your ability to translate data into business value, as this is what truly differentiates high-performing analysts.

You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your approach. Preparation is the most effective tool in your arsenal, and by focusing on the evaluation themes outlined here, you will be well-prepared to excel.

The salary data provided represents a range based on market benchmarks for similar roles in the UK. Candidates should use this as a reference point, keeping in mind that total compensation may include additional benefits, bonuses, or equity depending on the specific seniority of the role and the candidate's total professional experience.