Senior Data Analyst

Stanton House
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Marketing

Senior Data Architect

Data Engineer

Senior Systems and Data Analyst (Grade L)

Settlements Data Analyst

Job Description

Senior Data Analyst – Global Programs

📍 London, UK (Hybrid – 3 days in office)

🕒 Full-time | Real Estate Investment Firm

💰 Salary: Up to £60,000 per year + benefits


Are you passionate about transforming complex data into meaningful insights that drive global strategy? A leading real estate investment firm is looking for a Senior Data Analyst to join their Global Programs team and play a key role in delivering data-driven solutions across international operations.


🔍 What You’ll Do:

Design and deliver enterprise, regional, and local dashboards and reporting tools


Uncover actionable insights from operational data through advanced analytics and storytelling


Collaborate across departments (Tech, Finance, Operations) to improve data infrastructure


Build and automate data pipelines for cross-functional business reporting


Ensure data quality, compliance, and adherence to governance standards


🧠 What You Bring:

5+ years of experience in data analytics or reporting


Strong skills in Power BI or Tableau, SQL, and Python


Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake


Bachelor’s degree in Data Science, Computer Science, St...

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.

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

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.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.