Senior Looker BI Analyst (Managed Services)

As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

 

The Role:

You will be responsible for designing, building and maintaining analytics solutions, with a primary focus on business unit-specific data marts, self-service data models, building front-end analytical visualisations/reports (typically Looker), and training business users.

You will help deploy analytical data models, advise clients on development, and conduct co-development sessions to share your knowledge with customers. Being able to understand what technologies make a BI function a success; you will also have a good understanding of data warehouse technology on offer such as BigQuery and Snowflake.

This job is perfect for an individual who loves sharing their technical knowledge with others in a hands-on manner, thrives on working with different clients in just about every industry and proactively contributes to the open-source community.

As a BI Analyst you will work alongside:

• Analytics engineers: Responsible for designing, building, and maintaining end-to-end business intelligence solutions, with a primary focus on enterprise-wide data warehouse design, data models, and storage optimisation. Typically with dbt, Snowflake/BigQuery and Google Cloud.
• Architects: Responsible for designing the solution and data architectures. data architects design the end-to-end business intelligence solutions with a focus on designing the most optimal data model and architecture solution.
• Data Engineers: Responsible for building applications which connect systems, collect data, process that data into a useful format. Often this data is ‘big’ and requires distributed frameworks to move and process. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of analytics to operational systems.

 

Your responsibilities will include:

Platform implementations:

• Design and Build self-service business intelligence platforms (usually Looker)
• Build unit-specific data marts using dbt
• Gain a deep understanding of the Looker Platform and Google BigQuery
• Gain an understanding of the wider modern data stack
• Work with analytics Engineers who design big data warehouses and advise on infrastructure decisions

Insights for Clients:

• Produce actionable and insightful visualisations and dashboards from large, complex datasets in many different fields
• Gather requirements of businesses challenges and enable them to make better decisions by analysing data and storytelling

Collaboration:

• Share your knowledge of these tools through co-development and training sessions for clients
• Work in a collaborative way with our customers and other team members
• Actively propose solutions to fulfill our customer’s goals and requirements
• Work closely with our tech partners: Google Cloud, Looker, Snowflake,dbt, fivetran.

 

Requirements

Essential:

• Experience with Looker 
• Experience in the Google Cloud, AWS or Azure environment
• Proficiency in SQL & GIT
• Experience translating business requirements into technical solutions
• Ability to communicate complex ideas in a simple way to a wide range of audiences
• Proven analytical and problem-solving skills
• Experience in a client-facing position, ideally in a BI consultancy

Bonus Points:

• Previous experience with dbt, Looker, Snowflake and BigQuery
• Experience in CI/CD principles