Data Business Analyst (W/M)

Data Business Analyst (W/M)

Why join us?

Data Business Analyst main function is to assist the Product Owner in the daily backlog management (writing of User Stories, validation of User Stories, sorting and prioritization of backlog).

Your mission

• Provides digital expertise and enlightens with digital experience the solutions imagined by Product Owner (best practices, consistency with market standards…)
• Supports Product Owner in Product Backlog prioritization and gives advice on possible improvements in product backlog; proposes prioritization adjustment based on the perceived value
• Participates in lifecycle of Product Backlog and ensures that the Product Backlog is visible, transparent, and clear to all
• Details each selected feature in the form of a User Story small enough to be implemented within one sprint, including acceptance criteria necessary for the team to understand and develop the user story
• Understands and prioritize Technical Stories suggested by the team as well as Defect Stories
• Clarify any User Story upon request from the Development Team during a Sprint
• Participates and contribute to Agile events with the Team and contributes to testing User Stories developed by the Agile team
• Evaluates the quality of previous releases and current release in production and checks the new release for regression issues

What will help you succeed in this role?

Essential

• University degree in Informatics, Engineering or Economics
• Practical knowledge of agile methodologies, especially with practices of writing and prioritizing backlog items (INVEST, DEEP, Value Stream Map, etc....)
• Advanced knowledge of Excel, SQL, Data Visualization Tool, Statistics
• Experience with DataIKU
• Very good level of English
• Team player attitude with a sense of diplomacy

Desirable

• Certification in Dataiku DSS is appreciated
• French language would be a plus
• Experience in Finance

All applications will be considered regardless of race, nationality, ethnicity, color, language, religion, social origin, genetic traits, gender, sexual orientation, age, disability, chronic non-communicable disease, HIV infection, political choice, family status, membership or trade union activity, belonging to a disadvantaged/vulnerable category.

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