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Senior Analytics Consultant

Job in Brighton, TR2, England, UK
Listing for: MJR Analytics
Full Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 90000 GBP Yearly GBP 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Brighton

  • Salary:£70k - £90k+ bonus

  • Location:

    Brighton or Remote (UK only)

About Us

Rittman Analytics is an analytics consultancy based in Brighton, UK. We work with organizations to modernise and scale their data analytics capabilities based on a modern data stack based on Google Cloud and other partner technology.

We work with our clients to design, build and support innovative analytics solutions that empower end users to answer their own questions - we are experts in the modern data stack.

Why Rittman Analytics?

We are a company made up of passionate engineers and consultants.

We are striving to be a Great Place to Work with a culture that encourages you to be your best self.

Our Values
  • Pursue Expertise: A commitment to deep technical and individual expertise through continuous learning to ensure that our services and people are industry leading

  • 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

  • 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 Senior Analytics Consultant at Rittman Analytics you will lead the delivery of key client projects for our clients in the UK, Northern Europe and North America.

    Your responsibilities will involve 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. Ideally you'll already have a relevant Google Cloud Certification (Data Engineer is preferred) or be committed to obtaining that certification within your first three months with us.

    Most importantly, you should have experience and a desire to work within a consulting environment, thriving on managing multiple concurrent projects and delivering to deadlines and client expectations.

    You'll work with stakeholders at all levels 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 lead or deliver as part of a team.

    You'll be responsible for…1. Delivering and Leading Analytics Projects

    You will deliver — and often lead — analytics and data engineering projects, including:

    • Configuring and implementing cloud and database infrastructure using tools such as Google Cloud, Google Big Query and Google Cloud SQL

    • Transforming and modelling data using tools such as dbt, Dataform and Cube

    • Developing dashboards, explorations and data visualisations using tools such as Looker, Preset, Power BI and Superset

    • Developing test plans and testing data to ensure it is of high quality

    • Running and leading projects using Agile scrum/kanban techniques, and ensuring deliverables are in a reviewable state before sprint ceremonies

    • Leading technical discussions with clients where you propose approaches, defend decisions and control the narrative on your workstream.

    • Developing and implementing monitoring and optimisation strategies for development workloads

    2. Architecting Solutions
    • Leading the discovery of, and documenting, business logic and data definitions using language understandable to a non-technical audience, using terms they can read and validate

    • Working with prospects, customers and RA sales/senior management teams to create solution architectures

    • Designing data flows, data models and data orchestrations

    3. Owning Project Blockers and Risk

    A Senior Analytics Consultant is commercially accountable for the success of their engagement — not just technically contributing to it. This means:

    • Identifying blockers early and driving them to closure yourself, rather than waiting for a Delivery Manager or colleague to formalise the next step on your behalf

    • Proactively calling alignment sessions when ambiguity exists — on KPI definitions, data models, or business logic —…

    Position Requirements
    10+ Years work experience
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