• Salary: £60,000 + quarterly bonus*
• Location: Brighton or Remote (UK only)

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/.

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. 

• Innovative Impact: Solve complex, real-world data challenges for high-growth and data-rich organizations.
• Growth & Learning: Collaborate within a senior-led, close-knit team where mentorship, knowledge transfer, and hands-on development are priorities.
• No Cookie-Cutter Projects: Deliver bespoke, high-value solutions—not generic implementations—using cutting-edge analytics and AI tools.
• Client Empowerment: Our approach centers on enabling client teams—not dependency—helping them build lasting data capabilities for the long term.
• Recognition & Expertise: Join a recognized Google Cloud Partner, trusted by technical decision-makers to deliver strategic transformation.

Expect varied challenges, flexible remote working and a culture that champions learning and innovation.

Our Values

In a crowded market, our approach is what sets us apart. We deliver strategic value where other consultancies only deliver code.

As a small, founder-owned data analytics consultancy where reputation and client recommendations are our main source of new business, our values are core to our way of working:

1. Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading
2. Delivering on our Promise : A steadfast commitment to delivering on the promise we make to clients, ensuring that solutions are delivered impeccably and add significant value
3. Integrity & Transparency: A pledge to foster transparent communication with our team and our clients, ensuring clients can rely on both the data and the commitment of the firm

The Role

As an Analytics Consultant at Rittman Analytics you will be part of a team delivering key client projects for our clients in the UK, Northern Europe and North America.

Your responsibilities will involve delivering the work you are personally assigned in those projects, building trusted relationships with our clients, finding creative ways to solve problems, scoping projects and delivering those projects either on your own or as the lead in a small team.

Successful candidates will bring experience with Google Cloud, our strategic technology partner, along with modern data stack technologies such as dbt, Looker, Fivetran, Segment and Cube.

We'll support you in continuous on-the-job and courseworks-based continuous learning for our partner technologies over the time you are with us, with an expectation that you will obtain certifications and skills badges in these technologies as appropriate for the projects you'll be working on.

Most importantly, you should have experience and a desire to work within a consulting environment, for example in an internal consulting role, working for a consultancy similar to ours in a more junior role or you could demonstrate these skills through a track-record of freelance or open-source project contributions. Crucially, you need to be able to handle multiple tasks at once and pro-actively manage your time, enjoy being a self-starter and most importantly, deliver to deadlines and client expectations.

You’ll work with stakeholders at your level of technical experience and seniority, work on cutting-edge projects with a top-tier team and engage with stakeholders of all levels of technical and management seniority on projects you’ll deliver as part of a team.

You’ll be responsible for…

1. Project Delivery
   1. Delivering analytics and data engineering projects and initiatives that are assigned to you, including tasks such as:
      1. Configuring and implementing cloud and database infrastructure to an architecture design provided to you using tools such as Google Cloud, Google BigQuery and Google Cloud SQL
      2. Transforming and modeling data into consumable information and business logic using tools such as dbt, Dataform and Cube
      3. Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI, Superset
      4. Testing data to ensure it is of high quality
      5. Using project management techniques such as Agile scrum/kanban
      6. Monitoring and optimizing development workloads to ensure efficient operations
2. Architecting
   1. Documenting business logic and data definitions
   2. Designing data flows and data models
3. Mentoring:
   1. Mentoring and guiding junior analytics and data engineers.
4. Knowledge:
   1. Obtaining, if you do not have so already, developer certifications for Looker, dbt, Segment and other modern data stack partner
   2. Working towards Google Cloud Data Engineer certification
   3. Staying updated with the latest data engineering technologies and methodologies, and implementing them as appropriate.
5. Collaboration: Collaborating closely with our CEO and Head of Delivery to align analytics and data engineering with business goals.

What We're Looking For

• Must Haves
  • Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake
  • Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail
  • An excellent grasp of SQL, data modelling, cloud data warehousing and database design
  • Awareness of software development methods (git, CI/CD, code reuse etc) in an analytics context
  • A desire to work in a consulting role and an ability to manage multiple concurrent engagements
  • Confidence in your ability to work as part of a project team and to work constructively with stakeholders at an equivalent or lesser technical and data maturity
  • Located in the UK, ideally Southern England, London, Home Counties etc
• Nice to Haves
  • An awareness and interest in both the commercial and technical aspects of working for a consultancy, bringing a desire and interest in helping us, and our clients, grow their businesses

How the Application Process Works

1. We'll initially ask you to submit an application for the role via TeamTailor, our Applicant Tracking System. Please use your own words and thoughts when putting this application together, don't just generate something using ChatGPT - we can tell immediately when someone has done so and we want to instead understand your own thinking, motivations and rationale for wanting to work with us in this particular role.

2. We'll review your application and if you look like you might be a good fit, we'll set-up an initial call with one of our founders for an initial chat.

3. If that call goes well both parties are interested in taking the application further, we'll ask you to complete a technical test that simulates real-world working conditions as closely as possible by:

• covering the end-to-end process of sourcing, modeling, transforming and presenting data for analysis
• using tools similar-to or the same as we use on client projects
• being long enough to generate a meaningful deliverable at the end.

Completing this trial project shouldn't take more than 5-8 hours of your time, and we'll pay you as compensation for putting your own time into this. Note that what you produce will be strictly for evaluative purposes only, and not used for our own products, consulting or marketing.

4. We'll then arrange for follow-up call with one or more of our consulting delivery team, to talk through how you approached the exercise and to answer any questions you may have about working as an Analytics Consultant as part of that team.

What Success Looks Like as a Analytics Consultant

• Build outstanding rapport and reputation with clients
• Quick to understand and comprehend new concepts, development techniques and technologies
• Known as a competent team member for your area of expertise
• Regularly delivers work to deadlines and milestones
• Active user and emerging contributor to our internal Knowledge Base, Technical Tutorials and internal Analytics.
• Willingness to adopt new technologies and methodologies when necessary
• Supporting Senior Analytics Engineers and Analytics Lead in winning and retaining successful clients

Benefits

• 26 Days Annual Leave + your birthday, or next working day if it falls on a weekend
• A bonus scheme that pays 3% of the project revenue above your target that is attributed to you over a quarter, conditional on achieving 9 or greater in NPS Survey results for projects you’re involved in (*), available once you pass your six-month probationary period
• Flexible Bank Holidays policy, enabling you to exchange a government-set public holiday for a more convenient time off, such as to celebrate a religious festival (post-probation period)
• Company Bonus Scheme
• Life Assurance
• Private Medical Insurance
• Contributory Pension Scheme
• Enhanced maternity scheme
• Apple Macbook + allowance for setting-up your home office, if working remotely
• Brighton office or ability for you to work remotely or from any other worldwide Spaces offices