Job Description

What you’ll be doing:

This is a very exciting opportunity to join PlayStation as an Analytics Engineer in Data Science, Analytics & Enablement (DSAE). In this role, you will help lead the growth and adoption of DOMO as a global insights platform across PlayStation. This role is within the Data Enablement & Visualization function of DSAE, reporting into the Analytics Engineering Manager, based in London. You will be working closely with them and our Domo Platform Team in the strategic direction, architecture, development and support of not just DOMO, but other tools and projects in DSAE. 

 

As an Analytics Engineer, you will:

• Help lead and grow the adoption of DOMO as an insights platform across PlayStation.
• Support and consult the DOMO community within PlayStation
• Work directly with globally distributed teams to gather requirements and understand the business domains, looking to provide solutions that empower those areas.
• Translate requirements and collaborate globally to design and develop across multiple technology platforms.
• Create technical documentation and architectural diagrams.
• Design performant and engaging UX/UI data visualisations.
• Deliver insights and analysis, primarily using DOMO.
• Empower teams within PlayStation to self-serve and innovate on the DOMO platform.
• Troubleshoot production issues and user queries.
• Help motivate, guide and mentor other members of the global Analytics Engineering function. 
• The ideal candidate will have extensive experience across the whole of the DOMO platform as well as deep expertise in other Business Intelligence vendor tools such as Tableau, Looker, MicroStrategy and others.

 

What we are looking for:

Skills Required (essential): 

• Bachelor’s Degree (2.1 and above) in engineering, maths, economics or computer science. 
• 3+ years of experience of business intelligence development across multiple technology vendors, such as, but not limited to Tableau, MicroStrategy, Looker, Qlik, PowerBI, etc.
• Strong communication skills. It is vital that the successful candidate can explain complex technical issues in non-technical terms to business stakeholders.
• Demonstrable experience with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (i.e. Snowflake, Redshift, MySQL, Oracle,MSSQL, Vertica, MongoDB). 
• Proven experience in effectively partnering with business teams to deliver their goals and outcomes.
• Development experience in HTML5, CSS, JavaScript, D3.js, and other JS visualisation libraries or frameworks (such as React or Vue)
• Extensive SQL centric project work.
• Demonstrable experience in visualising data and designing user-friendly BI products
• Passion for turning complex data into UX focused, intuitive and performant insights.
• Experience with a wide variety of business data (Marketing, Sales, Finance, Operations, etc.).
• Goal oriented with strong attention to detail.
• Must be self-motivated, responsive, professional and dedicated to customer success.
• Possess an innovative, problem-solving, and solutions-oriented mindset.
• Demonstrated ability to learn quickly, be a team player, and manage change effectively. 
• Exceptional organisational, presentation, and communication skills – both verbal and written.

Skills Required (desirable):

• 2+ years of recent experience of the DOMO platform (across all aspects of the platform).
• AWS development experience and certification (preferably AWS Big Data Specialty).
• Experience working with real-time event stream data feeds (Kafka, MQ, Kinesis, MuleSoft Anypoint, etc.).
• Experience with or exposure to scripting/data science technologies (Java, Python, R, etc.)
• Experience with statistical methodologies.
• Experience of integrating API frameworks into wider business intelligence solutions.
• Experience of extending core business intelligence platform functionality using the platform SDK or API framework.
• Exposure to Data Science, Data Modeling and analytics