Senior Data Business Analyst

Reporting to the Senior Product Manager, Master Reference Data (MRD) is the centralised taxonomy and data governance solution that defines how Euromonitor structures and combines its various data sources. It is the single source of truth that lays out definitions to our taxonomy, enables seamless data integration across all our systems and unlocks value to our clients by enabling all our data sources to be combined in any possible way. The Senior Data Business Analyst will serve as the critical link between business stakeholders and technical teams, building in-depth knowledge on our various data sources; understanding our taxonomy challenges, clients needs, ETL processes and business objectives; analysing and documenting requirements; working closely with architects and software engineers to design solutions for our data warehouse and master reference data that deliver scalable, high-quality data solutions that solves real user problems and aligns with business objectives.

Key responsibilities

1. Requirement Gathering and Analysis-

• Independently lead sessions with stakeholders and senior product manager. Navigate through complex requirements with autonomy.
• Gather, analyse, and document business requirements. Translate business requirements into functional specifications with clear acceptance criteria.

2. Solution Design and Implementation:

• Collaborate with architects and software engineers to clarify requirements and design solutions.
• Reconcile conflicting requirements from multiple stakeholders and design solutions that balance priorities and meet shared objectives.
• Conduct user acceptance testing (UAT) and coordinate with stakeholders for feedback and sign-off. Ensure consistency and traceability of data across systems.

3. Stakeholder and Team Management:

• Participate in sprint planning, backlog grooming and all other ceremonies. Discuss alternatives, cost-benefit, trade-offs and make informed recommendations to ensure solutions aligned with requirements and objectives are delivered on time and budget.
• Build strong relationships with stakeholders at all levels. Manage stakeholder expectations and provide regular updates. Communicate progress, issues and solutions effectively.

4. Documentation and Training:

• Create and maintain comprehensive and detailed documentation, ensuring it is up-to date and accessible.
• Provide training and support to end-users.

5. Process Improvement:

• Utilize process modelling techniques to develop detailed process models and workflows.
• Implement process improvement frameworks to systematically identify and address inefficiencies in business processes.

The ideal candidates will demonstrate:

• Minimum 8 years of experience as a Business Analyst, with recent experience specifically in data warehouse or data platform products. Must demonstrate expertise in capturing and translating complex data requirements into functional and nonfunctional requirements with clear acceptance criteria and testing cases within Agile teams.

• Deep understanding on data platform technologies, ETL processes and dimensional modelling is a must-have.

• Excellent communication skills and organisational skills. Oral and written fluency in English.

• Proficient in business analysis tools and methodologies. Ability to produce high-quality documentation and artifacts to support stakeholders and team to understand requirements.

• Ability to manage multiple projects and priorities simultaneously, deal with ambiguity and conflicting interests of different stakeholders.

Desirable attributes:

• Experience with Azure DevOps.

• Basic / intermediate knowledge on data programming languages like SQL, Python or R.

• Experience with Data Visualization tools, preferably Power BI.

• Degree in Computer Science, Information Systems, Statistics or a related field. A masters degree is a plus.