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