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AerisBucharest, RomaniaAceastă ofertă de loc de muncă nu este disponibilă în țara dvs.
Agile Data Business Analyst M / F
InetumBucharestÎn urmă cu peste 30 de zile
Descrierea postuluiAt least 2 years of experience in Agile projects, especially digital projects At least 1 year experience with DataIKU Experience in Finance Abilities of planning and organizing Critical thinking and problem solving mindset Team player attitude with a sense of diplomacy At ease with sharing and transferring knowledge to others (whether it be within the agile team or with stakeholders) Knowledge of techniques and ways to collect data Experience with DataIKU; Certification in Dataiku DSS is appreciated.
Mission
The Agile 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). They cannot replace the Product Owner who is the only backlog responsible and decision maker.
- Provides Digital expertise and enlightens with digital experience the solutions imagined by Product Owner (best practices, consistency with market standards)
- Gives advice on possible improvements in product backlog
- Supports Product Owner in Product Backlog prioritization
- Proposes prioritization adjustment based on the perceived value
- Participates in lifecycle of Product Backlog
- 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
- Contributes to testing User Stories developed by the Agile team
- Accepts or refuses developed Stories (if the Product Owner has granted delegation)
- Evaluates the quality of previous releases and current release in production
- Checks the new release for regression issues
Profile
Knowledge of digital trends, standards, and issues
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
Knowledge of techniques and ways to collect data
Very good level of English
French is highly appreciated