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.
Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.
We are looking to expand our team of business intelligence and analytics experts who specialise in successfully implementing “Looker platform” BI solutions and helping our customers streamline current analytic and reporting processes. Prior knowledge of Looker not required, we will train you!
As a Looker Data Analyst with expertise in Looker, 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, Redshift, and Snowflake.
This job is perfect for an individual who loves sharing their technical knowledge with others in a hands-on manor, thrives on working with different clients in just about every industry and proactively contributes to the open source community.
What is Looker?
Looker is a data platform which sits on top of your databases and allows users to explore their data without knowing SQL. It does this by creating a semantic layer between users and your databases where you describe and define your data. We build out this semantic layer with LookML (code based and GIT controlled), which we often call modeling the data. This provides consistency, reliability and reusability of your data. Looker is used not just for BI users, but also data scientists. Learn more at www.looker.com.
Bonus Points for
The Basics: 25 days holiday in addition to bank holidays, choice of laptop & pension scheme
Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities
Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression
Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations
Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!
Office Environment: A modern office set in the innovation hub of Canary Wharf with complimentary fruit, cookies, tea/coffee throughout the day as well as a shared café and working space with panoramic views of London
Team Vibe & Social: A welcoming and friendly team plus regular monthly social events and team offsites (or remote events)
Our UK headquarters is based in a tech-centric environment in the centre of Canary Wharf. We also have offices in Stockholm and Geneva and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.
We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. As a company, we have a strong emphasis on learning and professional development. Our core values are:
A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.
Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.
Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.
Winning with Partners & Friends
Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.Apply for this job