Senior BI Analyst

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.

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 GCP.
• 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 a 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 fulfil our customer’s goals and requirements
• Work closely with our tech partners: Google Cloud Platform, Looker, Snowflake,dbt, fivetran.

Requirements

Essential:

• Experience with Looker and/or Tableau or similar leading BI tools
• Experience in the GCP, 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 Looker, Snowflake and BigQuery
• Experience in CI/CD principles

Benefits

The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme (rises by an extra 1% per year of service), team bonus payable annually, tech scheme, home equipment allowance

Health & Wellbeing: Private Healthcare Insurance, Discounted Gym Membership, Cycle to Work and Tech 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. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a £700 Conference Budget

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 off-sites including Tasty Tuesdays (paid lunch) and Thirsty Thursdays (team drinks).

WORKING FOR DATATONIC

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:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

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.

Purposeful Impact

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.

Datatonic is committed to being an equal opportunities employer. Diversity, equity and inclusion are a key part of our values and central to our overall mission of recruiting, retaining and promoting a diverse mix of colleagues. We encourage applications from all backgrounds, abilities and communities. If you require any accommodations or adjustments to our interview process, please reach out to jobs@datatonic.com and we will do our best to assist you.