Analytics Consultant - Digital

London, United Kingdom
2 weeks ago
£32,000 – £40,000 pa
Applications closed

Related Jobs

View all jobs

Advanced Analytics Consultant (Data)

Adecco London, United Kingdom
£500 – £750 pd Hybrid

SAS Data Engineer

Deerfoot Recruitment Solutions Telford, Shropshire, SY2 5TN, United Kingdom
£50,000 – £70,000 pa Hybrid Clearance Required

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom
Hybrid

Resident Solutions Architect (Professional Services)

Databricks London, United Kingdom

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Data Modeller

BrightBox Group United Kingdom
£500 – £600 pd Hybrid

Salary

£32,000 – £40,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

Ongoing training and upskilling Mentorship from experienced consultants Exposure to a wide variety of projects Supportive, tight-knit team culture

Analytics Consultant - Digital


London, hybrid (2 days per week in the office) | Up to £40,000 + benefits

Join a high-growth performance marketing agency where digital analytics sits at the heart of how they plan, optimise, and measure media. If you enjoy variety, solving complex problems with data, and working closely with stakeholders, this role offers a broad remit, strong mentorship, and clear room to grow.

The Company
They are a mid-sized performance marketing agency with a global footprint and a strong presence in the UK. Their clients span household-name brands across energy, public sector, education, and ecommerce. Data, measurement, and experimentation are central to how they design and deliver marketing solutions. You will join a close-knit analytics team embedded within the wider business, partnering with media specialists, strategists, and product teams.

The Role
As a Digital Analytics Consultant, you will sit within the analytics function and support a range of media and marketing projects, primarily in a Google Cloud environment. You will:

  • Build and maintain data pipelines and marketing data warehouses, often in BigQuery, to centralise digital and CRM data.
  • Work with web analytics tools to design tracking, implement measurement plans, and support migrations such as GA4 setups.
  • Develop SQL queries to transform, QA, and analyse data for reporting and deeper insight.
  • Create dashboards and visualisations in tools such as Power BI, Looker, or Tableau to communicate performance to non-technical stakeholders.
  • Support customer analytics projects including segmentation, CLTV analysis, and audience targeting for CRM and paid media activation.
  • Collaborate closely with internal media and solutions teams to scope requirements and translate business questions into data solutions.
  • Contribute to experimentation, testing, and recommendations that directly impact client marketing performance.

Your Skills & Experience
You will be a curious, proactive digital analytics professional with:

  • Strong commercial experience using SQL to manipulate and analyse data.
  • Hands-on experience with cloud data warehousing, ideally BigQuery or a similar platform.
  • Practical knowledge of web analytics tools such as Google Analytics (including GA4) or Adobe Analytics.
  • Understanding of tagging and implementation, for example using Google Tag Manager or similar tools.
  • Experience building or maintaining reports and dashboards in tools like Power BI, Looker, or Tableau.
  • A genuine interest in digital marketing, media performance, and how data can drive better decisions.
  • Strong communication skills, with confidence working directly with internal stakeholders and clients.
  • A collaborative, inquisitive mindset, keen to learn, ask questions, and get involved in a small team environment.

A background in agencies or consultancies is helpful but not essential if you are comfortable working across multiple projects and clients.

What They Offer

  • Salary up to £40,000 depending on experience.
  • Hybrid working with 2 set days per week in their London office, alongside flexible home-working.
  • Ongoing training and upskilling across analytics, cloud, and data science, with mentorship from experienced consultants.
  • Exposure to a wide variety of projects across web analytics, data warehousing, CRM, and predictive modelling.
  • A supportive, tight-knit team culture where your ideas are heard and you can progress quickly as you grow your skill set.

How To Apply
If you are excited by the blend of digital analytics, cloud data, and hands-on problem solving in a media environment, apply with your CV today to find out more.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.