At a Glance
- Tasks: Design and build scalable analytics platforms to drive data-driven decisions.
- Company: Join Sony Interactive Entertainment, a leader in gaming and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on clean design and sustainability.
- Why this job: Shape the future of analytics in gaming and make a real impact.
- Qualifications: Experience in data modelling, analytics tools, and strong SQL skills required.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a Senior Analytics Engineer to help design, build, and scale our analytics platform. This is a hands‑on, high‑impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well‑governed data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation. Our mission is to deliver timely, scalable, and high‑quality data and insights that enable data‑driven decision‑making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision‑ready datasets.
What You Will Be Doing
- Analytics Engineering and Data Modelling
- Design, build, and maintain analytics‑ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering.
- Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business‑facing models.
- Apply strong data modelling techniques, including dimensional modelling, facts and dimensions, and other appropriate design patterns.
- Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity.
- Ensure data quality and trust through testing, documentation, and observability within dbt.
- Business Partnership
- Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well‑designed data models.
- Act as a trusted thought partner, helping stakeholders understand what is possible with data and shaping requirements collaboratively.
- Balance technical excellence with pragmatic delivery, focusing on measurable business outcomes.
- Platform and Best Practices
- Define and embed dbt standards, including naming conventions, model layering, testing strategies, and documentation practices.
- Contribute to data architecture decisions, including warehouse design, schema organisation, and performance optimisation.
- Improve developer experience through tooling, CI/CD patterns, and modern analytics engineering workflows.
- Maintain deep expertise in the analytics technology stack, ensuring optimal performance and effective feature usage.
Required Skills
- Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms.
- Strong hands‑on experience with dbt, including:
- Data model design and refactoring
- Generic and singular testing
- Documentation and exposures
- Sources, snapshots, and macros
- Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches.
- Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Demonstrated ability to design analytics models that are technically robust and intuitive for business users.
- Experience building greenfield analytics or data platforms, or significantly evolving existing ones.
- Experience with data quality and observability, using dbt or complementary tooling.
- Familiarity with orchestration tools such as Airflow, Dagster, or Prefect.
- Experience with semantic layers, metrics frameworks, or analytics consumption patterns.
- Exposure to data governance, access control, or analytics enablement at scale.
- Experience mentoring or supporting junior analytics engineers or analysts.
- Strong track record of partnering effectively with business teams to deliver outcomes.
- Undergraduate degree in a related field, or an equivalent combination of education and experience.
Desirable Experience and Attributes
- Comfort operating in ambiguous or evolving data environments.
- Strong focus on clean design, maintainability, and long‑term sustainability, not just speed of delivery.
- Pride in building trusted data assets that are widely adopted and valued.
- Ability to be opinionated yet pragmatic, clearly explaining trade‑offs and adapting when required.
- Experience maintaining high technical delivery standards, including documentation and end‑user self‑service enablement.
- Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions.
- Ongoing support for users who rely on analytics products for decision‑making.
Nice to Have
- Extensive experience with Domo.
- Hands‑on experience with Snowflake.
- Exposure to web technologies such as JavaScript, HTML, and CSS.
- Experience in web analytics or related domains.
- Knowledge of statistical methodologies.
- Exposure to data science or advanced analytics use cases.
- Experience developing on AWS.
Senior Analytics Engineer employer: Sony Playstation
At Sony Interactive Entertainment, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Analytics Engineer, you will have the opportunity to work on innovative greenfield projects within a global team, driving impactful data solutions that enhance decision-making for partners in the gaming industry. With a strong focus on professional development, collaboration, and cutting-edge technology, we offer a rewarding environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytics projects, especially those involving dbt and data modelling. 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 your SQL and analytics concepts. Be ready to discuss your past projects and how you've tackled challenges. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in being part of the StudySmarter team.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with analytics engineering and data modelling. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:When applying, emphasise your hands-on experience with dbt and any Business Intelligence tools you've used. We love seeing examples of your work, so if you have a portfolio or case studies, include them to give us a better idea of your capabilities.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. We appreciate well-structured applications that make it easy for us to see your potential!
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Sony Playstation
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling techniques, especially dimensional modelling and facts and dimensions. Be ready to discuss how you've applied these in past projects, as this role is all about designing and building analytics-ready data models.
✨Showcase Your Business Partnership Skills
Prepare examples of how you've partnered with stakeholders to translate business needs into data solutions. Highlight your ability to act as a trusted thought partner and how you've balanced technical excellence with delivering measurable outcomes.
✨Familiarise Yourself with dbt Best Practices
Since this role involves a lot of work with dbt, ensure you can talk confidently about modularity, reusability, and testing strategies. Bring examples of how you've implemented these practices in your previous roles to demonstrate your hands-on experience.
✨Be Ready to Discuss Analytics Technology Stack
Brush up on your knowledge of modern cloud data warehouses like Snowflake or BigQuery, and be prepared to discuss how you've optimised performance in past projects. This will show that you have the deep expertise needed for this high-impact role.
