Analytics Engineer

Analytics Engineer, London

We are looking for a talented Analytics Engineer to join the Partner Data Insights team within the global Partners Data Engineering group. We provide global data, reporting and analytics solutions for the PlayStation Partners Platform - a vital collection of applications and services used by our Partners worldwide to develop and publish games and content on PlayStation.

• Our mission is to deliver timely, scalable and high quality data and insights to empower our business to make data-driven decisions, drive operational efficiencies and identify revenue opportunities.

You will have a track record of developing of enterprise-level business intelligence, visualisation and analytics solutions.

Based in our London office, in this role you will be working closely with the LA based US sister team, as well as partnering with other global data engineering and analytics teams in the company.

Responsibilities

• Deliver data products, visualisations and analytics across data warehousing and business intelligence platforms. Translate business requirements into technical designs and solutions.
• Develop and maintain expert level knowledge of our technologies - ensure optimised performance and optimal feature usage
• Work closely with Data Engineering to ensure cohesive and streamlined end-to-end solutions
• Ensure delivered visualisations and data products are delivered to high standards, appropriately documented and conducive to end-user self service
• Collaborate with business, product and engineering teams to craft solutions that are maintainable, scalable and flexible to business needs
• Iterate and drive solutions via rapid prototyping within the team and with stakeholders
• Provide ongoing support for our users who use our solutions for their decision-making.
• Ability and willingness to travel and work with diverse multinational teams and cultures

Skills and Qualifications

• 4+ years of experience in enterprise business intelligence application design and development, including 2+ years DOMO experience
• Expert product and technical experience delivering data products, visualisations and analytics on Business Intelligence solutions (e.g. DOMO, Tableau, MicroStrategy, Qlik, PowerBI, etc.). Passion for turning complex data into UX focused, intuitive and performant visualisations.
• Expert SQL
• Deep knowledge with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. Snowflake, Redshift, Netezza, MySQL, Oracle, MSSQL, Vertica, MongoDB).
• Excellent data modelling skills (e.g. conceptual, logical and physical model design – including traditional 3rd normal form as well as dimensional modelling), optimising for data warehousing and analytics use-cases. Experience converting ambiguous business needs to highly scalable data models and datasets.
• Ability to perform analysis over large and complex datasets and communicate findings to collaborators.
• Good understanding of software engineering processes, system development life cycles and Agile methodologies
• Strong Python for automation, data manipulation, shell scripting experience and creation of applications.
• Exceptional organisational, presentation, and communication skills – both verbal and written.
• Experience in effectively partnering with business teams to deliver their goals and outcomes.
• Undergraduate degree in a related field or an equivalent combination of training and experience

Desirable Experience

• Extensive Domo experience.
• Experience with Snowflake
• Knowledge of and proficiency in ETL/ELT Techniques and tools (e.g. Snowflake, Databricks, Informatica, Ab Initio etc.)
• Experience preparing datasets for AI/ML training
• Business Process Mapping Experience and applying this to Data Analysis
• Experience working with web technologies (JavaScript, Html, CSS), in particular with combining with Reporting/Analytics tools to create compelling user experiences
• Experience working in web analytics or a related field.
• Experience with AWS or similar cloud environments.
• Experience with statistical methodologies.
• Exposure to Data Science, Data Modelling and analytics.
• AWS development experience.