Implementation Analyst

The Role

We are looking for an Implementation Analyst to manage the full lifecycle of client implementations - from understanding requirements through production validation. You'll collaborate with project managers, delivery teams, and client stakeholders to define the right system configuration, test functionality, and verify that the live environment meets expectations. Your role will be to make implementations predictable, testable, and clearly valuable, so we can scale delivery, improve client communication, and demonstrate ROI in production.

Responsibilities

• Guide new clients through the setup process for our data management platform
• Confirm that proposed solutions align with client needs and expectations
• Translate client requirements into clear technical specifications for the engineering team
• Collaborate with client teams to validate system configurations and expected outcomes
• Test and compare data outputs to ensure accuracy and consistency
• Investigate and explain any differences between expected and actual results
• Work with engineers to refine configurations based on findings
• Present results to clients and secure approval before launching in production
• Verify that live implementations deliver the promised value and meet original goals
• Create standardised processes and templates to ensure consistent, repeatable delivery
• Define clear success criteria so implementations are measurable and predictable

Skills and Qualifications

Essential

• 3–5 years of experience in implementation, operations, analytics, or a related role
• Strong analytical skills, with experience working with high-volume datasets; solid statistical foundation
• Financial services or FinTech industry experience
• Clear written communication: you can produce specs, test results, and client-ready
• summaries
• Experience working cross-functionally with engineering, delivery, and client teams
• Strong organisation, initiative and ownership across multiple parallel implementations
• High attention to detail and commitment to accuracy

Preferred

• SQL proficiency
• Financial domain knowledge: solid understanding of investment and market data concepts
• Python and R proficiency
• Experience using Jira or other project management tools
• Experience with data visualisation tools or business intelligence platforms
• Comfort working across time zones with US-based clients and teams