Senior Data Analyst
This mission turns complex financial-security data into clear, compliant decisions for a high-stakes AML/KYC program. The analyst will bridge business and technology teams to shape target data solutions from first idea through controlled delivery.
CONTEXT
Our client, a major player in its sector, is strengthening its financial-security capabilities at a moment when data quality, regulatory scrutiny, and operational speed are colliding. The AML/KYC landscape is no longer a back-office checklist; it is a living ecosystem of risk signals, client journeys, controls, and reporting obligations. The mission starts with a simple but ambitious question: how can complex data flows become a transparent, testable, and decision-ready foundation for compliance teams? The Senior Data Analyst will sit at the intersection of business strategy, financial crime prevention, and technical delivery, translating regulation-driven needs into target data solutions. This is a story of turning fragmented requirements into a coherent blueprint that technical teams can build and business teams can trust.
ACTIVITIES
- Lead business analysis from initial ideation through delivery, clarifying needs, assumptions, and success measures.
- Map current and target data flows across AML/KYC processes, identifying gaps, dependencies, and control points.
- Manage requirements throughout their lifecycle, keeping business and technical stakeholders aligned on scope and priorities.
- Define target data solutions and support data architecture discussions with pragmatic, risk-aware recommendations.
- Act as the liaison between compliance, operations, product, and engineering teams, translating policy language into usable specifications.
- Facilitate delivery through test scenarios, acceptance criteria, change management, and post-release follow-up.
- Challenge unclear requests, document decisions, and maintain a shared source of truth for the program.
EXPECTED ACHIEVEMENTS
- A clear, approved target data blueprint for critical AML/KYC use cases.
- Reduced ambiguity between business expectations and technical implementation.
- Stronger traceability from regulatory requirements to data controls and test evidence.
- Faster, safer delivery of data-centric solutions with fewer late-stage surprises.
- Improved confidence among compliance and technical teams through transparent requirements and change management.
ENVIRONMENT
- Financial-security frameworks including AML and KYC controls.
- Data analysis, data-flow mapping, and requirements management practices.
- Business analysis methods spanning ideation, elaboration, delivery, and change management.
- Collaboration tools and documentation practices for cross-functional programs.
- Close interaction with data architects, engineers, compliance specialists, and operational teams.