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- Tasks: Own SQL-heavy analytics and create impactful reports for multiple gaming brands.
- Company: Join a dynamic data team in the exciting gaming industry.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by translating data into actionable insights for strategic decisions.
- Qualifications: Expert SQL skills and strong Tableau experience required.
- Other info: Collaborative environment with opportunities to work on innovative analytics projects.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced Senior Data Analyst to join our Data team and take ownership of SQL-heavy analytics, reporting, and data structuring. This is a generalist, senior-level role, where you will be a key contributor to querying, refining, and generating reports and dashboards for multiple gaming brands. You will work closely with cross-functional teams across the company and the Data team, supporting multi-brand analytics. This role requires advanced SQL skills, proficiency in Tableau, experience with big data, strong business acumen, and the ability to structure and model data in SQL/ClickHouse for reporting and analytics. Clear communication and documentation of work within the Data team are essential.
Key Responsibilities
- Write, optimize, and maintain complex SQL queries, views, and reports across multiple brands and datasets.
- Develop and maintain Tableau dashboards to visualize KPIs and insights for various teams.
- Support cross-functional teams with both ad-hoc and recurring reporting needs.
- Structure and model data in SQL/ClickHouse to ensure accuracy, reliability, and usability for reporting.
- Document work clearly and maintain best practices for data workflows within the Data team.
- Assist with onboarding new brands' data and integrating it into reporting workflows.
- Collaborate with Data Science and Engineering teams to support analytics projects and reporting initiatives.
- Translate data into actionable insights and communicate findings to non-technical stakeholders.
- Understand business KPIs, including financial KPIs, and provide insights that inform strategic decisions.
- Work independently, manage multiple priorities, and deliver high-quality reports and analysis without close supervision.
Required Qualifications
- Expert-level SQL skills with experience building queries, views, and reports.
- Strong Tableau experience with the ability to build complex, interactive dashboards.
- Proven experience as a Senior Data Analyst or similar role with end-to-end responsibility for reporting.
- Experience working with large datasets, big data, and structuring and modeling data in SQL/ClickHouse for reporting and analytics.
- Knowledge of online gaming data and multi-brand operations is highly desirable.
- Strong understanding of business KPIs, including finance, and ability to translate them into actionable insights.
- Strong communication skills with the ability to work with multiple departments and stakeholders, and document work effectively.
- Excellent attention to detail, ensuring data and reporting consistency.
- Strong analytical and problem-solving skills, with the ability to deliver accurate and reliable outputs.
- Ability to work independently and manage multiple priorities.
Senior Data Analyst in London employer: Gamdom
Contact Detail:
Gamdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Tableau dashboards, and any relevant projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios and case studies. Practice explaining your thought process clearly, as communication is key when working with cross-functional teams.
✨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 are proactive about their job search!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your expert-level SQL skills in your application. We want to see how you've built complex queries and reports in the past, so don’t hold back on sharing specific examples!
Dashboards are Key: If you’ve got strong Tableau experience, flaunt it! Share details about the interactive dashboards you've created and how they’ve helped teams visualise KPIs and insights. This is your chance to shine!
Communicate Clearly: Since clear communication is essential for this role, ensure your application reflects your ability to document work effectively. Use straightforward language and structure your application well to demonstrate your communication skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Gamdom
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how you've optimised them in past roles. Practising with real datasets can help you articulate your thought process during the interview.
✨Showcase Your Tableau Expertise
Bring examples of dashboards you've created in Tableau to the interview. Be ready to explain the KPIs you visualised and how they impacted decision-making. This will demonstrate your ability to translate data into actionable insights, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with the gaming industry and the specific brands the company works with. Knowing their business KPIs and how they relate to data analytics will show that you can provide valuable insights that align with their strategic goals.
✨Communicate Clearly and Effectively
Practice explaining technical concepts in simple terms, as you'll need to communicate findings to non-technical stakeholders. Clear documentation of your work is also essential, so be prepared to discuss how you maintain best practices in your data workflows.