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Senior Business Analyst(Data Engineering)

wsa3
Companywsa3
CategoryEngineering
Location
Remote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted10 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (teamtailor)
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Description
Driven by the passion to improve quality of people’s lives, WS Audiology continues to grow as market leader in the hearing aid industry. With our commitment to increase penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively. We are looking for a Senior Business Analyst to bridge the gap between business stakeholders and the Data Platform & Products Team. In this role, you will translate analytical, operational, and regulatory requirements into governed, trusted data products, standardized KPIs, and high-quality data assets. You will play a key role in ensuring that data products are discoverable, well-documented, compliant, and aligned with business needs across the organization. What you will do You will join the Data Platform & Products Team and serve as the primary liaison between business stakeholders and the engineering team, owning requirements, governance, and the quality of what we deliver. Gather and translate business requirements Engage with stakeholders across Marketing Analytics, Product, Regulatory, Support, and Business teams to gather, analyse, and document analytical and compliance requirements. Translate business needs into precise data product requirements and functional specifications that Data Engineers and the Data Architect can act on. Facilitate workshops, requirement sessions, and review meetings to ensure alignment between business intent and technical delivery. Define and govern data products and KPIs Define and maintain business KPIs and metric definitions — specifying calculation logic, business context, and interpretation guidance — and ensure they are consistently applied across the organisation. Support the creation and certification of data products and analytical datasets, ensuring they meet quality, lineage, and governance standards before being published for consumption. Maintain business glossaries and data dictionaries that make data assets discoverable and understandable to non-technical users. Promote standardisation of business metrics across teams, reducing conflicting definitions and improving trust in shared data. Lead data governance and compliance activities Support the implementation of data governance policies, standards, and practices across the data platform. Maintain metadata, data lineage, and business classifications — working with tooling such as Microsoft Purview to ensure the data catalogue is accurate and up to date. Assist with regulatory reporting requirements and compliance obligations, and support audit readiness activities. Champion data stewardship across the organisation — helping data owners understand and fulfil their responsibilities. Validate data quality and support adoption Participate in data validation and acceptance testing for new and updated data products, ensuring delivered assets meet the requirements defined. Support investigation of data quality issues reported by consumers, working with Data Engineers to diagnose and resolve them. Drive adoption of certified data products and datasets across business teams — helping users understand what is available, how to use it, and why it is trustworthy. Collaborate across functions Act as the primary liaison between business stakeholders and the technical Data Platform team — keeping both sides aligned on priorities, requirements, and delivery progress. Work closely with the Data Architect on data modelling decisions to ensure physical models reflect business semantics correctly. Support the Lead Data Analyst and Analyst team by ensuring the data products they consume are well-documented, governed, and fit for purpose. What you bring Experience 5+ years of experience in Systems Analysis, Business Analysis, Data Analysis, or Data Governance. Bachelor’s degree in Computer Science, Software Engineering, Data Science, In