Data Consultant

Data Consultant (Manager / Senior Manager) 

Experience: 7+ years 

Role Overview 

We are seeking an experienced Data Consultant to support the delivery of enterprise-grade data products. This role sits at the intersection of business, data architecture, and engineering, and plays a critical role in translating business needs into well-defined, high-quality, reusable data assets. 

The ideal candidate is a self-starter who can independently drive discussions, close gaps in requirements, and ensure data products are designed with clear business value, strong data quality, and end-to-end lineage. 

 

Key Responsibilities 

• Lead source-to-target mapping activities, capturing detailed data lineage from source systems through to semantic data models and data products. 

• Define, document, and maintain data quality rules in collaboration with data engineers, architects, and governance teams. 

• Capture and maintain business metrics and KPI requirements, including maintaining a master metric list to support consistent fact and dimension design. 

• Work closely with data architects and engineers to design facts, dimensions, and semantic models that meet business needs. 

• Ensure all artefacts adhere to established data frameworks, standards, and templates, and provide constructive feedback to improve them. 

• Facilitate workshops and working sessions to clarify ambiguous requirements and bridge gaps between business and technical teams. 

• Ensures Jira User Stories are created based on business requirements and data requirements template. 

• Articulate the business value of data requirements and challenge stakeholders to provide the level of detail required to build high-quality data products. 

• Support the release of data products and data assets, including supporting UAT, validation, and adoption activities. 

• Partner with data governance functions to agree calculation logic, definitions, and data ownership within defined data domains. 

• Query and analyse data to validate requirements and logic, using SQL and/or advanced Excel. 

 

Required Experience & Skills 

• 10+ years’ experience working on data platforms, data products, or analytics solutions. 

• Strong experience with source-to-target mappings, data lineage, and semantic data modelling. 

• Demonstrated experience defining business metrics, KPIs, facts, and dimensions. 

• Strong understanding of data quality concepts, controls, and governance. 

• Practical experience supporting data product releases into production. 

• Hands-on data skills: 

• Advanced Excel and/or strong SQL 

• Solid understanding of OLAP, OLTP, and relational data structures. 

• Comfortable working in agile or iterative delivery environments. 

• Confident communicator able to engage business and technical stakeholders. 

 

Nice to Have 

• Experience working on API-backed data products or Lakehouse architectures. 

• Familiarity with data governance operating models and stewardship frameworks. 

 

Personal Attributes 

• Proactive, curious, and outcome focused. 

• Comfortable challenging requirements to improve clarity and value. 

• Detail-oriented, without losing sight of the bigger picture. 

• Able to work independently while collaborating effectively across teams.