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

Apply Now

Business Data Analyst with Actimize- Canary Wharf Docklands London

Free-Work UK
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analyst - AML/KYC- London - Northern Trust

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Transaction Monitoring Data Analyst

Transaction Monitoring Data Analyst

Business Data Analyst with Actimize - Canary Wharf Docklands London

Join us to apply for the Business Data Analyst with Actimize - Canary Wharf Docklands London role at Free-Work UK.


Job Description

We are seeking an experienced contracting Data Analyst to join our Professional Analysis team in central London. You will gather, understand, and document detailed business requirements, analyze complex data sets, and support the deployment of Actimize AML products.



  2. Perform business analysis to support Actimize AML product deployment.
  3. Identify and implement external services and tools for data validation and cleansing.
  4. Collaborate with clients to understand data content.
  5. Create dashboards, graphs, and visualizations.
  6. Mine large datasets, draw inferences, and present findings to management.
  7. Develop and document data processes, including cleansing and matching.
  8. Design ETL processes.


Requirements include at least 1-2 years of experience with Actimize software, a Bachelor's degree in a related field, proven data analysis experience, strong PL/SQL skills, database development experience (SQL Server, Oracle), data migration knowledge, ETL development skills, and proficiency in tools like MS SSIS or Informatica. Knowledge of C# or Python and master data management routines using Oracle SQL & PL/SQL are also required.


This is a 6-month contract based in Canary Wharf Docklands, London. Please send your CV in Word format, along with your hourly rate and availability.


#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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.