Business Data Analyst

NineTech
London
1 month ago
Applications closed

Related Jobs

View all jobs

Business / Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Insurance Business Data Analyst

Data Analyst

This range is provided by NineTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Overview

Ninetech Solutions is supporting a leading Financial Services client who is embarking on a strategic data integration project — and we’re looking for an experienced Business Analyst to join on an initial 6-month contract.


This role will play a key part in enabling seamless data flow and integration across systems within a cloud-based Azure environment, collaborating across technical and business teams to ensure accurate, timely, and impactful data delivery.


Base pay range

Details provided by NineTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Responsibilities


  • Perform detailed data mapping and analysis to support robust integration of systems and datasets
  • Work closely with technical teams to ensure data is properly transformed, integrated, and validated
  • Support the use and integration of APIs in a cloud-first (Azure) environment
  • Gather and refine business requirements in an Agile delivery environment, working with product owners, developers, and QA teams
  • Ensure data quality, governance and consistency align with enterprise standards
  • Serve as the bridge between technical and non-technical stakeholders
  • Strong experience as a Business Analyst within data integration or data-driven projects, ideally in Financial Services
  • Solid understanding of data flows, data mapping, and system interactions
  • Hands-on experience with Azure cloud services and APIs
  • Proficient in Agile delivery, with tools such as JIRA, Confluence, or similar
  • Excellent stakeholder management and ability to translate technical concepts into business-friendly language
  • Strong analytical mindset with a keen eye for data quality and governance


How to apply

Please send your CV to or apply directly via LinkedIn.


Seniority level


  • Mid-Senior level


Employment type


  • Contract


Job function


  • Information Technology


Industries


  • IT Services and IT Consulting and Financial Services


#J-18808-Ljbffr

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.