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Junior Data Analyst

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Aiviq Limited
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Data Security
Job Description & How to Apply Below
Location: Greater London

Junior Data Analyst role within Aiviq Product Team.

London, Hybrid

Full time

Aiviq is a cutting-edge fintech company revolutionising financial services and asset management. We empower the world's leading asset managers with data-driven insights and innovative technology solutions. Our cloud-based platform transforms complex financial data into actionable intelligence, addressing critical challenges in client data quality and insights. Serving global asset managers overseeing trillions in Assets under Management, we're at the forefront of financial technology innovation.

What you will be doing

As a Data Analyst at Aiviq, you will play a crucial role within our product team, responsible for data collation, cleansing, interrogation, and presentation to support product objectives. This position is ideal for recent graduates or early-career professionals with limited or no prior domain or data analysis experience who are eager to learn and grow in a dynamic fintech environment.

You'll work alongside our exceptional engineering, quality control, and product teams, leveraging a modern, cloud-based tech stack including Azure, SQL, and Power

BI. We're looking for curious, analytical minds who embrace modern ways of working, including AI-assisted tools and workflows, to enhance their productivity and analytical capabilities.

Working across product discovery, prioritisation, and execution, you'll develop your data analysis and data management skills whilst building understanding of the full software delivery cycle and engaging with as many Aiviq team members as possible.

Technical Problem Solving
  • Wrangle and analyse data inputs to draw meaningful conclusions, and prepare findings in concise formats
  • Demonstrate confidence in challenging perceived thinking and using data to prove or disprove hypotheses
  • Complete analysis projects with structured supervision, demonstrating knowledge of key data and analytics concepts
  • Map and categorise business requirements between customers, products, and market segments to inform planning and development
Data Analysis & Documentation
  • Complete database documentation tasks, proactively improving documentation coverage KPIs
  • Complete basic data modelling, mapping, and specification tasks, demonstrating progress after structured learning opportunities
  • Support with data analysis tasks, proactively finding ways to add value and innovate with data
  • Prepare data-related design questions for team workshops to make informed decisions quickly
  • Demonstrate basic SQL and Power

    BI skills to support data interrogation and build knowledge of Aiviq products
Product Development Lifecycle
  • Refine user stories with accompanying data artefacts (ERDs, test scenarios, examples) with structured supervision
  • Escalate risks, issues, and identify blockers in a timely manner for assigned tasks, projects, and deliverables
  • Maintain functional specifications and other database documentation, keeping coverage consistent
  • Demonstrate improved knowledge of agile delivery methodologies gained through structured and informal training
Testing & Quality Assurance
  • Create test data or business examples with supervision to aid story refinement and development
  • Execute database level test scripts relating to story development with limited supervision
  • Collate testing signoff evidence on simple to medium complexity stories with limited supervision
Learning & Development
  • Ask questions, become more adept in core data analysis and data management concepts
  • Work with your line manager to identify relevant structured courses to gain experience and confidence quickly
  • Engage with as many Aiviq team members as possible to understand the full software delivery cycle
What you will need
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and ability to work with complex datasets
  • Good written and verbal communication abilities
  • Keen interest in data, technology, and financial services
  • Ability to work collaboratively in cross-functional teams
  • Eagerness to learn and adapt in a fast-paced environment, embracing modern tools and AI-assisted workflows
  • Basic understanding of SQL or willingness to learn quickly
  • Proactive mindset with ability to identify…
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