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.
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 Data Analyst you will work alongside:
Your responsibilities will include:
Insights for Clients:
The Basics: 30 days holiday in addition to bank holidays, Private Occupational Pension (Salary Sacrifice), Team Bonus payable annually, choice of laptop
Health & Wellness: 4500 kr Private Health Insurance Allowance per year, 5000 kr Wellness Allowance per year, Employee Assistance Program
Learning: 8500 kr Conference Budget + 4 days attendance per year, Access to Linux Academy, Coursera, and LinkedIn Learning
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!
Flexible Working: A mix of office and remote working, 1200 kr Home Equipment Allowance
Team Vibe & Social: A welcoming and friendly team plus weekly Team Lunches and Monthly Social Events
WORKING FOR DATATONIC
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. We have offices in the UK, Stockholm, Geneva, Munich, and Barcelona, and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.
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
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.