Analytics Engineering Manager (Partner Insights - Analytics and Visualisation)

Analytics Engineering Manager (Partner Insights - Analytics and Visualisation)

United Kingdom, London

Why PlayStation?

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.

PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Job Description:

We are looking for an experienced Analytics Engineering Manager to lead the new Partner Insights team - a team of 4-6 Analytics and Visualisation Engineers.

You will have a deep passion and skill for data analysis, efficient organisation of data, impactful presentation of data, visualisation and story telling. You will work closely with our engineering, business and product teams to interpret data and turn data from various sources into impactful and actionable insights.

The insights you and your team create will directly inform business decisions and actions that will make PlayStation the best place for Partners to create and publish games: from attracting and retaining the best Developers, Publishers and Content to optimising our Publishing and Development toolkits and providing great support.

Based in our London office, you will be working closely with other global teams - including data engineering, analytics, AI/ML and Data Science teams - requiring travel from time to time.

Responsibilities:

Lead, manage, coach and inspire a team of Analytics Engineers

1. Provide technical leadership to the team to guide architecture, design, UX and implementation.
2. Guide development of team members, help them be impactful and grow their careers - through coaching, mentoring as well as formal evaluations and development plans.
3. Foster an environment where team members are empowered and motivated to perform their best.
4. Lead by example. Know when to Delegate and Empower, know when to be hands-on.

Own team outcomes, ensuring delivered solutions are implemented to the highest standards

1. Lead and join communities of practice to establish and adopt the highest standards.
2. Work closely with Data Engineering teams to ensure cohesive & re-usable end-to-end solutions - from data acquisition, transformation through to visualisation and reporting.
3. Provide feedback and guidance to the team throughout the delivery process.
4. Ensure customer involvement to ensure the best possible outcome.
5. Make Start/Stop/Continue/Pivot judgements during delivery.

Know and represent your team's Platforms and Products

1. Become an expert in the Platforms we use, Data we process and the Data Products we develop.
2. Be able to represent and talk knowledgably about what the team is working on, has delivered and be able to demonstrate when necessary.

Introduce, Adopt and Adapt appropriate delivery methodologies

1. Judge when a very formal SDLC is required and when a more dynamic prototyping process is warranted.

Stakeholder engagement and management

1. Work with Product and Business stakeholders and your team to understand, shape, assess and deliver to business requirements.
2. Build relationships with customers - understand what is working and what is not working and plan and take appropriate action. Build rapport and keep customers updated.
3. Participate in product roadmap development and identify key areas for innovation and improvement in our solutions and incorporate these into ongoing & future development initiatives.

Skills and Qualifications

1. Management: 3+ years experience managing, leading and building analytics teams.
2. Must have people and performance management experience.
3. Stakeholder Management: Skilled at Stakeholder Management - partnering with business and product teams to effectively understand, shape and deliver to their goals and outcomes.
4. Business Intelligence: 8+ years of experience in enterprise business intelligence design and development, including.
5. Expert Product and Technical experience delivering Data Products, Visualisations and analytics on Business Intelligence solutions (e.g. DOMO, Tableau, MicroStrategy, Qlik, PowerBI, etc.).
6. Expert at turning complex data into UX focused and intuitive visualisations.
7. Delivering Self-Service data and reporting solutions.
8. Building re-usable components and Data Assets.
9. Data Analysis: Experience in analysing and interpreting data from multiple source types and technologies, including Master Data, Transaction Data, Web & Journey Analytics, Event Streams.
10. Experience in several analytics techniques including trend analysis, propensity and attribution models for conversion and churn rates, segmentation, journey analytics.
11. Data Transformation: Knowledge of and proficiency in ETL/ELT Techniques and tools (e.g. Snowflake, DBT, Databricks, Informatica, Ab Initio etc.).
12. Transformation and aggregation of raw data into modelled, re-usable dimensions, facts and metrics.
13. Data Modelling: Experience building scalable and re-usable Data Products with data warehousing systems for large enterprises using sophisticated data warehousing design and modelling techniques.
14. Must have experience and knowledge of data model documentation and dimensional modelling.
15. Data Platforms: Deep knowledge with at least one of the following database technologies and familiarity with the others: relational, columnar and NoSQL (e.g. Snowflake, Redshift, MySQL, Oracle, MongoDB etc.).

Expert SQL

1. Strong Python: for automation, data manipulation, shell scripting experience and creation of custom applications.
2. SDLC: Deep understanding of software engineering processes, system development life cycles including Agile and Rapid Prototyping methodologies.
3. Outstanding organisational, presentation, and communication skills - both verbal and written.
4. Must be self-motivated, responsive, professional and dedicated to customer success.
5. Extensive DOMO Experience.
6. Extensive Snowflake Experience.
7. Experience preparing datasets for AI/ML use-cases.
8. Experience in AI/ML tools and techniques.
9. Business Process Mapping Experience and applying this to Data Analysis.
10. AWS development experience and certification.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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