Insight Analyst

Acosta Europe
Gu215Bh, GU21 5BH, United Kingdom
Yesterday
£38,000 – £45,000 pa

Salary

£38,000 – £45,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
2 Jun 2026 (Yesterday)

Benefits

10% Discretionary Bonus Comprehensive Healthcare Generous Pension Plan 25 days holiday Paid Volunteering Day Career Development Company Tools Inclusive Culture Employee Engagement

Insight Analyst

Client:Kraft Heinz - Shop Smart

Location: Hybrid – 3 Days a week in Woking Head Office

Salary: £38,000 - £45,000 per annum + 10% Discretionary Bonus

About Acosta Europe

Acosta Europe connects people with brands to deliver measurable results through unrivalled field execution, insight and collaboration. As part of a global business, we champion talent, culture and performance – empowering people to thrive and brands to grow.

The Insights Analysts Role

Are you an analytical thinker with a passion for turning data into actionable insights? We're looking for a dynamicInsights Analyst to join our team and play a key role in building strong client relationships while delivering engaging, visually impactful analysis. This is an exciting opportunity to work closely with both Account and Insight Teams to provide high-quality insights that drive client success.

Key Responsibilities

  • Build and maintain strong client relationships through regular communication, performance reviews, and commercial presentations.
  • Collaborate with Account and Insight teams to deliver actionable analysis and identify growth opportunities.
  • Forecast and measure the impact of field operations, ensuring clear ROI understanding.
  • Evaluate new product launches and monitor promotional effectiveness, compliance, and pricing impacts.
  • Provide detailed analysis on POS location impact, distribution compliance, planogram compliance, and intervention effectiveness.
  • Deliver insights into supply chain efficiencies and lost sales opportunities.
  • Prepare and present clear, impactful findings through reports and presentations.
  • Ensure accurate and timely delivery of system-generated reports with insightful analysis.
  • Utilise territory optimisation and journey planning software to streamline field operations.

What we look for in our Insights Analyst's

  • At least 2 years' professional experience, preferably in retail or FMCG industries.
  • Customer-focused mindset with the ability to turn insights into strategic actions.
  • Strong interpersonal skills to build rapport and influence stakeholders, including excellent communication skills with previous experience presenting complex data clearly and engagingly to clients.
  • Highly developed analytical and decision-making skills.
  • Advanced Excel and PowerPoint skills. (Not Essential)
  • Experience using Power BI for data analysis and visualisation.
  • Strong organisational and time-management skills with a target-driven approach.

Why join Acosta Europe?

  • Flexible Working Options– including hybrid arrangements for work-life balance.
  • Comprehensive Healthcare– medical, dental, vision, plus life insurance and Employee Assistance Programme.
  • Generous Pension Plan– Growing contributions as your service increases helping you plan for the future.
  • Paid Time Off– 25 days holiday, plus bank holidays to recharge.
  • Paid Volunteering Day– Make a difference in your community.
  • Career Development– access to Acosta University and internal promotion programs.
  • Company Tools– Including state of the art technology to ensure you are set up for success, including Laptop and mobile phone.
  • Inclusive Culture– supportive, diverse, and values-driven environment.
  • Employee Engagement– social events, recognition programs, and wellness initiatives.

At Acosta Europe, we believe diversity and inclusion are the foundation of innovation and success. We welcome people from all backgrounds and experiences, creating a culture where everyone feels valued and empowered to thrive.Are you ready to turn data into actionable insights? Apply today and be part of a team that drives success and grow your career with us.

Related Jobs

View all jobs

Data & Insight Analyst

Forsyth Barnes Leeds, West Yorkshire, United Kingdom
£40,000 – £45,000 pa Hybrid

Data Insight Analyst

4Recruitment Services Lambeth, London, SE1 7JW, United Kingdom
£34 ph On-site

Customer Insight Analyst

Amtis Professional Birmingham, United Kingdom
£40,000 – £50,000 pa Hybrid

Customer Insight Analyst

Harnham - Data and Analytics Recruitment Lancashire, United Kingdom
£50,000 – £55,000 pa Hybrid

Business Insight Analyst

Park Street People Slough, United Kingdom
On-site

Senior Data & Insight Analyst

GEDU London, United Kingdom
On-site

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.