Data Business Analyst

Matchtech Group; Fareham; Hybrid; GBP 45,000 - 60,000; Full time

Benefits offered by this job

Excellent benefits package

Annual bonus

Hybrid working arrangement

Job summary

Matchtech Group is seeking a Data Business Analyst to join its technology and IT function on a permanent basis. The role is hybrid, spanning Fareham and home, and focuses on data-led transformation by translating business needs into clear, development-ready requirements and effective data solutions.

You will manage the full requirements lifecycle, perform current-state data analysis, and collaborate with Data Product Managers, Modellers, Engineers and QA within an Agile environment to ensure

Qualifications

• Experience in data analysis and business analysis within data-centric initiatives.
• Strong SQL skills and ability to read Python code.
• Experience with Agile delivery and backlog management.

Responsibilities

• Manage the full business requirements lifecycle, including elicitation, analysis, documentation and ongoing change management.
• Carry out current-state data analysis, mapping source systems, data landscapes, feeds and requirements.
• Plan and facilitate workshops, interviews and prototyping sessions with business and technical stakeholders.
• Analyse source systems, data models and end-to-end data flows to create clear user stories and acceptance criteria.
• Work with Data Product Managers to define and prioritise product backlogs in line with stakeholder needs and delivery timelines.
• Collaborate with Data Modellers, Data Architects, Data Engineers and Quality Analysts within an Agile development framework.
• Support user acceptance testing, ensuring delivered functionality meets requirements and is fit for purpose.
• Maintain accurate project documentation and ensure solutions align with data architecture, governance, quality and scalability principles.

Skills

SQL skills

Data analysis

Agile / Scrum

Stakeholder engagement

Data governance

Tools

Python

Job description

Our client is seeking a Data Business Analyst to join its technology and IT function on a permanent basis. Working within a hybrid environment the role will support data-led transformation by translating business needs into clear, development-ready requirements and effective data solutions.

Key Responsibilities:

• Manage the full business requirements lifecycle, including elicitation, analysis, documentation and ongoing change management
• Carry out current-state data analysis, mapping source systems, data landscapes, feeds and requirements
• Plan and facilitate workshops, interviews and prototyping sessions with business and technical stakeholders
• Analyse source systems, data models and end-to-end data flows to create clear user stories and acceptance criteria
• Work with Data Product Managers to define and prioritise product backlogs in line with stakeholder needs and delivery timelines
• Collaborate with Data Modellers, Data Architects, Data Engineers and Quality Analysts within an Agile development framework
• Support user acceptance testing, ensuring delivered functionality meets requirements and is fit for purpose
• Maintain accurate project documentation and ensure solutions align with data architecture, governance, quality and scalability principles

Job Requirements:

• Experience in data analysis and business analysis within data-centric initiatives or transformation programmes
• Experience within healthcare, pharmaceuticals, or the medical sector would be highly desirable
• Strong SQL skills, including data profiling, querying datasets and analysing keys, joins, relationships and data structures
• Ability to read and interpret SQL and Python code to understand how data is sourced, transformed and loaded
• Understanding of conceptual, logical and physical data models, database schemas and data flows
• Experience with Agile or iterative delivery frameworks, backlog management, user story decomposition and acceptance criteria
• Experience in requirements elicitation, stakeholder engagement, process mapping, use cases, data flows and diagrams
• Working knowledge of Data Management, Data Migration, Data Governance, Data Quality and Business Intelligence concepts
• Excellent communication, active listening, problem-solving and organisational skills, with a proactive approach to delivery

Additional Information:

• Permanent position within a technology and IT environment
• Hybrid working arrangement across Fareham and home
• Working week of 37.5 hours
• Excellent benefits package and annual bonus
• Infrequent travel, including international travel, may be required
• Opportunity to contribute to high-value data projects and enterprise transformation initiatives
• Collaborative working relationships across product, data, delivery, external teams and business functions