Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst - Market Research Consultancy

London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst - Market Research Consultancy, SPSS, Sawtooth

Our client is an expanding research agency, seeking a highly skilled and experienced Data Analyst Specialist to join a team as a Data Analyst. This is a fantastic opportunity to play a key role in our clients growth plans, which include doubling in size over the next 2-3 years and expanding their capabilities in both B2B (60-70% focus) and consumer research.

About the Role:

As a Data Analyst, you will be a key player in delivering complex data analysis and insights to our clients. You will be responsible for the design and execution of a range of quantitative research projects, leveraging your expertise in advanced methodologies. This role offers significant growth potential, with the opportunity to build and lead a data analytics team in the future.

Responsibilities:

Design and analytically execute complex quantitative methods, including conjoint, MaxDiff, and segmentation, tailored to bespoke client briefs.
Manage all external suppliers throughout the quantitative research project lifecycle, including script checking, data cleaning, and liaison with partners.
Address scripting queries and ensure data delivery aligns with analytical needs (data loops, codeframes, etc.).
Build and analyze conjoint grids and choice-based models using Sawtooth software.
Perform market sizing exercises and segmentation analyses.
Assist with the development and implementation of AI tools and dashboards.
Train junior team members on data manipulation and analysis techniques.Ideal Candidate:

5+ years of hands-on agency experience in analytics (research/insight agency) is ideal.
Proven experience with the design and analytical execution of complex quantitative methods, including conjoint, MaxDiff, and segmentation.
In-depth understanding of quantitative techniques and their application to research objectives.
SPSS / Q - Essential
Sawtooth - Essential
Advanced Excel - Essential
Power BI, etc. - Very much nice to haveWe Are Aspire Ltd are a Commited employer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.