Opportunity to work within a large, complex enterprise setting
Hybrid Working Arrangements - 50% WFH
6 Months Contract with Strong possibility of extension
About the Organisation
Our client is a large and complex organisation investing in a modern
Enterprise Data Platform
to deliver scalable, trusted data products that support reporting, analytics, and advanced data use cases across the business.
The platform is built on
Microsoft Azure
using a
Medallion Architecture (Bronze, Silver, Gold)
and leverages technologies including Azure Data Factory, Databricks, Delta Lake, Unity Catalog, Alation, Azure DevOps, and Power BI.
About the Role
We are seeking an experienced
Senior Business Analyst – Enterprise Data Platform / Data Product Delivery
to define and manage business and functional requirements for enterprise data products.
Working closely with
Data Product Managers, Data Engineers, Data Modellers, and business stakeholders
, you will translate business needs into clear and structured requirements that guide data ingestion, modelling, transformation, and delivery activities.
The role has a strong focus on
data product requirements, business rules, metric definitions, data quality, transformation requirements, scope management, and stakeholder alignment
.
You will help reduce delivery ambiguity and rework by ensuring requirements, risks, dependencies, assumptions, and decision points are clearly understood and documented.
Role:
Senior Business Analyst – Enterprise Data Platform / Data Product Delivery
Technology Environment:
Microsoft Azure / Databricks / Azure Data Factory / Delta Lake / Power BI / Azure DevOps
Experience:
5+ years in Business Analysis across data, analytics, or data platform programs
Key Accountabilities and Outcomes
Analyse source systems and data structures to understand data availability and ingestion requirements.
Conduct
data profiling and exploratory analysis
to assess completeness, usability, and transformation requirements.
Identify high-level
data lineage
from source systems through to downstream data products.
Define business metrics, measures, and reporting requirements.
Document business rules and transformation requirements across
Bronze, Silver, and Gold
platform layers.
Define data product purpose, scope, requirements,



and intended outcomes.
Develop clear functional requirements and transformation logic for curated datasets.
Document metric definitions and business terminology to promote consistent interpretation.
Define
data quality rules and validation criteria
for trusted data products.
Develop functional test scenarios to validate delivered requirements.
Work with Data Product Managers to translate business priorities into structured requirements.
Collaborate with Data Engineers and Data Modellers to ensure requirements are technically feasible and clearly understood.
Support business stakeholders and Product Owners in defining and validating expected outcomes.
Translate complex data concepts into clear, business-focused language.
Facilitate discussions around scope, metric definitions, data definitions, and business rules.
Contribute to feature-level backlog definition within
Azure DevOps
.
Participate in backlog refinement and sprint discussions where requirements clarification is required.
Assist with
User Acceptance Testing (UAT)
coordination.
Document and track scope decisions, assumptions, risks, constraints, and dependencies.
Maintain visibility of scope boundaries and assess the impact of proposed changes.
Document options, trade-offs, and implications to support effective decision-making.
Provide structured updates on delivery status, risks, dependencies, and emerging issues.
Desired Experience and Capabilities
Minimum
5+ years' experience as a Business Analyst
working across data, analytics, or data platform programs.
Demonstrated experience defining requirements for enterprise data and analytics solutions.
Experience working with
Azure-based data platforms and Lakehouse architectures
.
Strong understanding of
Medallion Architecture including Bronze, Silver, and Gold layers
.
Experience working closely with
Data Engineers and Data Modellers
.




Strong capability documenting business rules, data definitions, metrics, and transformation requirements.
Experience defining
data quality rules, validation criteria, and functional test scenarios
.
Ability to analyse source systems and understand data availability, lineage, and dependencies.
Proven experience managing scope, risks, assumptions, dependencies, and requirements traceability.
Strong ability to structure complex problems and document options and trade-offs.
Excellent stakeholder engagement, facilitation, and communication skills.
Experience supporting Agile data product delivery environments.
Skills Requirements
Data Business Analysis
– Strong experience translating business needs into structured data and analytics requirements.
Data Product Requirements
– Ability to define scope, outcomes, functional requirements, metrics, business rules, and transformation logic for data products.
Azure Data Platforms
– Understanding of Azure-based enterprise data platforms and Lakehouse architectures.
Medallion Architecture
– Strong understanding of Bronze, Silver, and Gold data layers and how information is transformed through the platform.
Data Analysis & Profiling
– Ability to assess source data, identify data availability and quality considerations, and support transformation requirements.
Data Quality & Lineage
– Experience documenting quality rules, validation requirements, source-to-target considerations, and high-level data lineage.
Stakeholder Engagement
– Ability to work effectively across business stakeholders, Product Managers, Data Engineers, and Data Modellers.
Scope & Requirements Management
– Strong capability managing requirements, scope boundaries, dependencies, assumptions, risks, and change impacts.
Agile Delivery Support
– Experience contributing to backlogs, refinement sessions, sprint discussions, functional validation, and UAT activities.
Desirable Experience
Experience with
Azure Data Factory
.
Experience or familiarity with
Databricks and Delta Lake
.
Familiarity with
Power BI semantic models
and enterprise reporting requirements.
Experience with data catalogue and governance tools such as
Alation or Unity Catalog
.
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