Senior Data Quality Business Analyst/Consultant

Company Introduction

We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Senior Data Quality Business Analyst/Consultant to join their global asset manager client on a hybrid basis.

Job Responsibilities/Objectives

The role will sit between the business and technology teams, translating business data quality requirements into clear technical requirements and driving them through to delivery.

• Work with business stakeholders to understand data quality issues, requirements and desired outcomes.
• Translate business requirements into clear technical requirements, user stories and delivery plans.
• Support the implementation and enhancement of data quality tools, processes and procedures.
• Work closely with technology and data teams to ensure requirements are understood and delivered effectively.
• Coordinate delivery activities, track actions, risks, dependencies and milestones.
• Support testing, implementation and rollout of data quality solutions.
• Help establish and embed robust data quality processes, controls and governance.
• Act as the bridge between business stakeholders, data teams and technical delivery teams.

Required Skills/Experience: The ideal candidate will have the following:

• Strong data quality business analysis/consultant skills
• Have worked in a change environment
• Previous experience working within an Asset Management/Asset Servicer/Investment Management environment.
• Demonstrable experience of implementing data quality tools, processes and procedures within an asset manager.
• Strong understanding of data quality, data controls, governance and data management.
• Proven ability to translate business requirements into technical requirements and deliverable solutions.
• Comfortable working with both business and technical stakeholders.
• Strong communication, documentation and stakeholder management skills.

Desirable Experience: Experience supporting data quality transformation/change programmes.

• Experience with data quality/observability tools such as Monte Carlo (preferred), Collibra, Informatica, Alation, Ataccama, Great Expectations, Soda, Talend, Dataiku or IBM InfoSphere; Monte Carlo is not essential.
• Experience working with data catalogues, data lineage and data governance tooling.
• Experience working across investment, operations, risk or data functions within an asset manager.