Senior Data Business Analyst / Product Owner
New
J
JobgetherData transformation
Remote opportunity within the eligible EMEA locations listed above.ContractSenior
SalaryCompetitive contractor daily rate of up to £420.
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Job Details
- Experience
- 10+ years of experience in Agile delivery environments, including Scrum or Kanban, with significant senior-level experience in technology consulting or Data Transformation programmes.
- Required Skills
- SQLSCRUMSnowflakeDatabricks
Requirements
- 10+ years of experience in Agile delivery environments, including Scrum or Kanban.
- Significant senior-level experience in technology consulting or Data Transformation programmes.
- Experience leading Discovery and Scoping activities, including pre-sales or pre-contract work for data and analytics projects.
- Ability to define business objectives, scope boundaries, and preliminary requirements while reducing delivery risks.
- Experience facilitating discussions with senior business stakeholders and communicating business value.
- Excellent SQL skills and experience working with data and analytics projects.
- Understanding of data lineage, data transformation, data quality, and data protection requirements, including GDPR.
- Knowledge of medallion data architecture and modern data platforms such as Databricks or Snowflake.
- Experience defining metrics for a semantic layer.
- Familiarity with BI and reporting solutions and data warehouse integrations.
- Proficiency with Jira, Confluence, and Agile reporting tools.
- Willingness to travel when required by client engagements.
Responsibilities
- Lead discovery and scoping activities, defining objectives, requirements, scope boundaries, and data product concepts.
- Facilitate discussions with product managers and senior business stakeholders to frame problems, define value, and translate needs into Epics.
- Establish scope baselines and coordinate governance with account and programme stakeholders.
- Connect client stakeholders with delivery teams, facilitate alignment and sign-offs, and negotiate scope, timeline, and resource trade-offs.
- Own data product requirements from discovery through delivery, breaking Epics into user stories and acceptance criteria.
- Create and review target-to-source field mappings and define reconciliation and data quality rules.
- Own data product backlogs and roadmaps, prioritise work, manage dependencies, and identify delivery risks or blockers.
- Facilitate Agile ceremonies and track progress and team health using Jira or similar tools.
- Prepare sprint reports and contribute to proposals and Statements of Work.
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