About Us
Rittman Analytics is a boutique data consultancy helping ambitious businesses scale and modernize their analytics capabilities. From our base in Brighton, UK, we support clients across the UK, Europe, North America, and beyond. As a Google Cloud Specialized Data Analytics Partner, we deliver expert consulting, data platform development, and technical enablement using the best of the modern data stack—dbt, Looker, BigQuery, and more. Our team combines deep technical skill with a passion for empowering clients to make better, faster decisions through trusted data solutions. You can read more about our services and clients we typically work-with on our website at https://www.rittmananalytics.com/.
Location and Salary
* Salary: £60,000 + quarterly bonus*
* Location: Brighton or Remote (UK only)
Why Rittman Analytics
At Rittman Analytics, you’ll work alongside a team of skilled consultants and engineers who value curiosity, autonomy, and continuous improvement. You\'ll collaborate directly with clients to design and deliver robust data platforms, enable data teams and provide strategic technical guidance. Whether building real-time analytics in BigQuery, enabling Looker self-service, or helping a startup modernise their data infrastructure, your work will have immediate, visible impact.
Our values focus on delivering strategic value over just code, and we strive to build lasting data capabilities for clients.
Responsibilities
You will be part of a team delivering key client projects for our clients in the UK, Northern Europe and North America. Your responsibilities include delivering the work you are personally assigned, building trusted relationships with clients, solving problems, scoping projects and delivering them either on your own or as the lead in a small team.
Key activities include:
* Project Delivery: Deliver analytics and data engineering projects, configure and implement cloud and database infrastructure, transform and model data, develop dashboards and visualisations, test data quality, apply Agile scrum/kanban, and monitor/optimise development workloads.
* Architecting: Document business logic and data definitions, design data flows and data models.
* Mentoring: Guide junior analytics and data engineers.
* Knowledge: Obtain developer certifications for Looker, dbt, Segment and other modern data stack tools; work towards Google Cloud Data Engineer certification; stay updated with new technologies.
* Collaboration: Work with the CEO and Head of Delivery to align analytics with business goals.
What We're Looking For
Must Haves
* Real-world experience with Google Cloud and modern data stack tools (dbt, Looker, Fivetran, BigQuery and/or Snowflake)
* Strong analytical, problem-solving and technical skills; attention to detail
* Excellent SQL, data modelling, cloud data warehousing and database design
* Familiarity with software development methods (Git, CI/CD) in an analytics context
* Desire to work in a consulting role and ability to manage multiple engagements
* Ability to work effectively with stakeholders at varying levels of technical maturity
* Located in the UK, ideally Southern England, London, Home Counties
Nice to Haves
* Interest in both commercial and technical aspects of consultancy and client growth
How the Application Process Works
* Submit an application via TeamTailor. Please include your own thinking and motivation for this role.
* If shortlisted, have an initial chat with one of our founders.
* Complete a technical trial that mirrors real-world conditions and tools used on client projects (typically 5-8 hours; compensation provided).
* Follow-up discussion with the consulting delivery team to review your approach and fit.
What Success Looks Like
* Build outstanding rapport and reputation with clients
* Quickly understand new concepts and technologies
* Be a competent team member and consistently deliver to deadlines
* Contribute to internal knowledge resources
* Willingness to adopt new technologies when necessary
* Support senior analytics engineers and analytics leads in client work
Benefits
* 26 days annual leave plus birthday policy
* Bonus scheme based on project revenue and NPS results (probation period applies)
* Flexible holidays policy post-probation
* Company bonus, life assurance, private medical insurance
* Contributory pension
* Enhanced maternity scheme
* Equipment allowance for remote work (Apple MacBook)
* Office-based or remote work options
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