Job Description

We are looking for a talented Senior 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 leading the development 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

• Design and deliver data products, visualisations and analytics across data warehousing and business intelligence platforms. Translate business requirements into technical designs and solutions.

• Provide technical leadership - create and socialise designs, lead design sessions, perform technical reviews, lead engineering initiatives, develop and drive adoption of standards, Mentor other team members

• 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

• Maintain and Improve technical delivery standards - 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

• Provide ongoing support for our users who use our solutions for their decision-making.

 

Skills and Qualifications

• 5+ years of experience in enterprise business intelligence application design and development, including 2+ years DOMO experience

• 2+ years experience in a technical leadership role

• 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

• Knowledge of and proficiency in ETL Techniques and tools (e.g. Ab Initio. Informatica, Databricks etc.)

• 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.

• Deep understanding of software engineering processes, system development life cycles and Agile methodologies

• Python, shell scripting experience for automation, data manipulation and creation of applications.

• Experience with AWS or similar cloud environments.

• Exceptional organisational, presentation, and communication skills – both verbal and written.

• Proven 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

• Experience working with web technologies (JavaScript, Html, CSS)

• Experience working in web analytics or a related field.

• Experience with statistical methodologies.

• Exposure to Data Science, Data Modelling and analytics.

• AWS development experience.