Data Business Analyst - Fixed Term Contract

The salary for this role is £45,000.

This role is being offered on a 12 Month Fixed Term Contract.

Are you experienced in gathering and translating business requirements into effective data and reporting solutions?

Do you enjoy working with stakeholders, analysing data, and collaborating with technical teams to deliver high-quality outcomes?

Can you use your SQL, Power BI, and analytical skills to support data validation, testing, and continuous improvement across a modern Azure data environment?

If so, we’d love to hear from you!

At Livestock Information Ltd, our mission is to be an outstanding service provider of livestock data, empowering government, industry, and farmers to effectively manage disease and infection control, whilst enhancing productivity and innovation in agriculture. To achieve this, we need great people, who share in our values.

As a Data Business Analyst at LI, you will play a key role in shaping and supporting high-quality data and reporting solutions that help drive business decisions and improve services.

Working closely with stakeholders and customers, you will gather and define both functional and non-functional requirements, ensuring business needs are clearly understood and translated into effective data solutions.

You will analyse datasets, document findings, and help maintain clear and reliable knowledge resources for LI’s data products and services. You will also work collaboratively with Data Modellers, Data Engineers, and Testers to support the design, development, and testing of data solutions.

Alongside Product Owners, you will help deliver data products and services to end users, supporting continuous improvement as business and customer needs evolve.

The role also involves working across teams to monitor progress, manage defects, identify risks, and help maintain high standards of data quality, integrity, and performance across our platforms.

Responsibilities

Your responsibilities will include

• Engaging with stakeholders to gather, define, and manage functional and non-functional requirements, supporting delivery through development, testing, and UAT activities.
• Conducting data profiling and analysis to support data validation, quality, and understanding for Data Engineering and Data Modelling activities.
• Supporting ETL processes by promoting best practices and validating data against Entity Relationship (ER) diagrams and data models.
• Creating and maintaining clear, concise documentation and artefacts to support data knowledge and solution understanding.
• Supporting Product Owners with stakeholder engagement, User Story and Task creation, data analysis, and solution delivery activities.
• Working closely with Data Modelling and Data Engineering teams to support the design and implementation of data solutions, including dimensionally modelled Data Warehouses and Data Lakes using the Microsoft Azure technology stack, including Azure Databricks and Azure Data Factory.
• Supporting testing activities through the creation of comprehensive test scenarios and test cases aligned to business requirements and user stories.
• Supporting Power BI Development and Support activities by:

• Gathering and documenting reporting requirements, including KPIs, metrics, filters, and business rules.
• Translating business requirements into clear reporting specifications.
• Validating report accuracy and consistency against underlying data sources.
• Performing functional testing of reports and dashboards, including filters, slicers, drill-down and drill-through functionality.
• Ensuring reporting outputs align with business requirements and agreed data models.
• Acting as a liaison between business stakeholders and Power BI developers to support successful delivery.

• Collaborating effectively with onshore teams, offshore teams, and external partners to deliver high-quality outcomes.
• Supporting wider team delivery activities, including:

• Providing effort estimates, tracking progress, and communicating status updates.
• Logging and managing defects with clear descriptions, priorities, and severity levels.
• Tracking defects through to resolution, validating fixes, and formally closing issues.
• Escalating critical risks, issues, or data integrity concerns in a proactive and timely manner.

You may be required to undertake other duties assigned by your line manager as appropriate