Data Governance Analyst

CONTEXT

Our client, a major player in its sector, is on a mission to unlock the value of its data and make it genuinely accessible to business teams. The organisation has accumulated rich information over years, but definitions, ownership, and quality practices have not always kept pace with ambition. The data and analytics team is therefore building a stronger governance foundation that allows people to trust the numbers, understand the context, and use insights independently. This role sits at the heart of that change, acting as a proactive partner to departments that want to move from raw reporting to confident, governed decision-making.

ACTIVITIES

• Engage business stakeholders to explore data insight opportunities and clarify what good data looks like for their domains.
• Define and document key data definitions, business rules, ownership, and quality expectations.
• Coach business teams so they can manage and interpret insights with greater autonomy.
• Support the data governance team with operating models, cataloguing practices, and adoption rituals.
• Challenge assumptions, identify gaps, and translate messy business questions into structured governance actions.
• Help departments gain better control and insight into their data while keeping momentum and trust alive.

EXPECTED ACHIEVEMENTS

• A shared data language that reduces ambiguity and rework across departments.
• Stronger data ownership and quality accountability embedded in daily business routines.
• Business teams that are more confident, autonomous, and effective in using governed data.
• A practical governance model that supports insight creation without slowing the organisation down.

ENVIRONMENT

• Data governance and data quality frameworks.
• Business intelligence and analytics platforms.
• Data cataloguing and metadata management practices.
• SQL, data modelling, and stakeholder workshop techniques.
• Agile, collaborative, and coaching-oriented ways of working.