National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Insights Analyst

Randstad
London
9 months ago
Applications closed

Related Jobs

View all jobs

Financial Data & Insights Analyst AVP

Financial Data Analyst

Customer & Sales Data Analyst

Data Analyst (Customer Insights)

Data Analyst

Senior Data Analyst

job details

Job Title: Data Insight Analyst

Location: London

Type: 6 months Contract

Model: Hybrid

Role Overview: We are seeking an experienced and driven Insight Analyst to join our dynamic team. In this role, you will be responsible for transforming complex data into actionable insights that drive strategic decisions and business growth. Your expertise in data analysis, visualization, and communication will be crucial in delivering impactful presentations and recommendations tailored to our business needs.

Key Responsibilities:

Data Analysis and Insight Generation: Utilize a broad range of techniques including data mapping, exploration, preparation, big data analytics, and statistical significance analysis to uncover trends and insights. Data Visualization and Communication: Create compelling visualizations and effectively communicate actionable insights to diverse audiences.

Skills Required:

Technical Proficiency: Strong experience with GCP BigQuery, SQL, and a solid understanding of Python. Statistical analysis and data visualization skills are essential. Commercial Acumen: Proven experience in a similar role (e.g., Insight Analyst, Data Insight Analyst) within the services sector (telecommunications, banking, insurance) with a demonstrated ability to synthesize complex information. Effective Communication: Success in delivering engaging presentations and visualizations to varied audiences, translating data insights into actionable business strategies. Collaborative Attitude: Cooperative and positive can-do attitude with the ability to work well in a team setting.

Top 3 Must-Haves:

Technical Skills: Proficiency in GCP BigQuery, SQL, and Python. Industry Experience: Recent and relevant experience in a similar role, ideally within the services sector (e.g., telco, banking, insurance). Insight Synthesis: Demonstrated success in synthesizing complex and ambiguous information to drive actionable insights and effective communication.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

...

Job Title: Data Insight Analyst

Location: London

Type: 6 months Contract

Model: Hybrid

Role Overview: We are seeking an experienced and driven Insight Analyst to join our dynamic team. In this role, you will be responsible for transforming complex data into actionable insights that drive strategic decisions and business growth. Your expertise in data analysis, visualization, and communication will be crucial in delivering impactful presentations and recommendations tailored to our business needs.

Key Responsibilities:

Data Analysis and Insight Generation: Utilize a broad range of techniques including data mapping, exploration, preparation, big data analytics, and statistical significance analysis to uncover trends and insights. Data Visualization and Communication: Create compelling visualizations and effectively communicate actionable insights to diverse audiences.

Skills Required:

Technical Proficiency: Strong experience with GCP BigQuery, SQL, and a solid understanding of Python. Statistical analysis and data visualization skills are essential. Commercial Acumen: Proven experience in a similar role (e.g., Insight Analyst, Data Insight Analyst) within the services sector (telecommunications, banking, insurance) with a demonstrated ability to synthesize complex information. Effective Communication: Success in delivering engaging presentations and visualizations to varied audiences, translating data insights into actionable business strategies. Collaborative Attitude: Cooperative and positive can-do attitude with the ability to work well in a team setting.

Top 3 Must-Haves:

Technical Skills: Proficiency in GCP BigQuery, SQL, and Python. Industry Experience: Recent and relevant experience in a similar role, ideally within the services sector (e.g., telco, banking, insurance). Insight Synthesis: Demonstrated success in synthesizing complex and ambiguous information to drive actionable insights and effective communication.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

National AI Awards 2025

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 Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.