Senior BI Analyst (Tableau and SQL)

Akkodis
Manchester, United Kingdom
Yesterday
£45,000 – £60,000 pa

Salary

£45,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
4 Jun 2026 (Yesterday)

Benefits

Extensive benefits

Senior BI Analyst (Tableau and SQL)

£45,000 - £60,000 + extensive benefits

Full Time / Permanent

Manchester / Hybrid (2-3 days a week in the office)

The Company

My client are a well-established and innovative digital agency who deliver strategic consultancy, web development, and digital marketing to an impressive portfolio of high profile clients.

The Role

This is a growth related opportunity for an experienced Senior BI Analyst who is looking for a role where they can genuinely make a big impact in a short space of time.

The Senior BI Analyst will take ownership of a cloud-based data infrastructure and reporting ecosystem playing a critical role in transforming fragmented data into trusted, structured systems that power decision-making across the business.

This is a hybrid role working from my client's Manchester City Centre head office 2-3 days a week.

Skills and Experience required

  • Must be a proven BI Analyst with strong technical expertise and a natural curiosity for data.
  • Must be a self-starter who loves getting stuck in and has a real passion for finding solutions.
  • It is essential to have proven commercial experience using Tableau to build dashboards and reports.
  • Must also have strong SQL skills and be comfortable writing and editing SQL queries to manipulate and extract data.
  • Any experience working with cloud-based tools like Google Sheets or HubSpot would be great but are not essential and can be learned.

Please apply via the advert or contact

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Related Jobs

View all jobs

Senior BI Analyst (Business Intelligence)

360 Resourcing Sl14Dx, SL1 4DX, United Kingdom
£55,000 – £60,000 pa Hybrid

Senior Data / BI Analyst

RaptorTech Recruitment W1J0Ad, W1J 0AD, United Kingdom
£60,000 – £85,000 pa Hybrid

Senior Data / BI Analyst

RaptorTech Recruitment Ip14Ee, IP1 4EE, United Kingdom
£50,000 pa Hybrid

Senior Business Intelligence Manager

Pearson Whiffin Recruitment Group Gillingham, United Kingdom
£70,000 – £75,000 pa On-site

Senior Data Analyst

Boss Professional Services Kt11Ae, KT1 1AE, United Kingdom
£60,000 – £85,000 pa Hybrid

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.