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- Tasks: Analyse global research data and present insights to drive strategic decisions.
- Company: Join Scientific Games, a leader in lottery and gaming technology.
- Benefits: Earn up to £40,000, enjoy 26 days leave, and a pension scheme.
- Why this job: Make an impact in the gaming industry with your analytical skills.
- Qualifications: Experience in data analysis and strong Excel skills required.
- Other info: Hybrid role with opportunities for travel and career growth.
The predicted salary is between 24000 - 40000 £ per year.
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day.
Position Summary
Principal Functions & Responsibilities:
- Collection and analysis of global research data, presentation of outcomes, proposals for strategy changes – various projects as assigned.
- Creation, collection, analysis, and presentation of critical metrics.
- Assessment of trends and feedback to other management as required.
- Reporting of data to other personnel in the company – such as division, senior management, global personnel, sales and marketing, etc.
- Participate and assist in management with ad-hoc analysis, evaluating strategy, direction and appropriate measures of success.
- Manage the full lifecycle of research projects with minimal supervision.
- Travel to customers or business divisions, as appropriate.
Skills, Training, Experience Required:
- Previous experience gained within insights, research or data management field.
- Demonstrated hands-on ability to analyse large amounts of research and data, ensure accuracy, recognise patterns and trends and organise observations into a clear and useful format.
- Strong data visualisation skills.
- Advanced knowledge of Excel a prerequisite with proficiency in translating data into information and presenting that information to wider non-specialist audiences.
- Proficiency with IBM SPSS Statistics (or an equivalent software package).
- Strong quantitative and qualitative data analytical skills essential.
- Must be comfortable communicating and leading discussions with all levels of the organisation and across functions.
- Must demonstrate strong organisational skills to ensure that multiple projects can be handled simultaneously, while meeting deadlines.
As well as a competitive salary of up to £40,000 (full-time) other benefits include pension scheme, 26 days annual leave (pro-rata), and onsite car park.
This role is office/hybrid based. Regular travel will be expected, both within and outside of the UK.
Scientific Games is an Equal Opportunity Employer and does not discriminate against applicants due to race, colour, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Insight Analyst in Leeds employer: SCIENTIFIC GAMES
Contact Detail:
SCIENTIFIC GAMES Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insight Analyst in Leeds
✨Tip Number 1
Get your networking game on! Reach out to current or former employees at Scientific Games on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview like it’s a big game day! Research the company’s latest projects and trends in data analytics. Show them you’re not just another candidate; you’re someone who’s genuinely interested in their mission and ready to contribute.
✨Tip Number 3
Practice your data storytelling skills. You’ll need to present complex data in a clear way, so try explaining your past projects to friends or family. The clearer you can make it, the better you’ll do in interviews!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Insight Analyst in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Insight Analyst role. Highlight your experience in data analysis and insights, and don’t forget to showcase your skills in Excel and data visualisation. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at Scientific Games. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Analytical Skills: In your application, be sure to include specific examples of how you've successfully analysed data in the past. Whether it's trends you've identified or metrics you've improved, we want to know how you’ve made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at SCIENTIFIC GAMES
✨Know Your Data Inside Out
As an Insight Analyst, you'll be dealing with a lot of data. Make sure you brush up on your analytical skills and be ready to discuss how you've handled large datasets in the past. Be prepared to share specific examples of trends you've identified and how they influenced decision-making.
✨Master Your Tools
Familiarise yourself with Excel and IBM SPSS Statistics, as these are crucial for the role. During the interview, highlight your proficiency with these tools and be ready to explain how you've used them to create impactful visualisations or reports that communicated complex data to non-specialist audiences.
✨Showcase Your Communication Skills
You'll need to communicate findings to various levels within the company. Practice explaining your analysis in simple terms, as if you're talking to someone without a data background. This will demonstrate your ability to bridge the gap between data and actionable insights.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities and how you manage multiple projects. Think of scenarios where you've had to juggle deadlines or adapt strategies based on feedback. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.