Business Analyst
The project is an implementation and customization of the SportsBook betting platform for the Asian market. The betting platform extends the customer platform for better account and money management. The SportsBook platform has a microservice architecture that includes services for data consumption of sports events, allowing to place bets on those events.
- Gathering, validating, and documenting business requirements (requirements gathering, elicitation and collaboration with external stakeholders and product owners).
- Modelling business requirements into Ready items for the development teams (analyzing requirements based on the system capacities, proposing solutions, collaborating with technical leads and analysts to model the initial requirements into well-defined user stories – INVEST principle).
- Modelling business processes and identifying opportunities for process improvements.
- Identifying issues, risks, benefits of existing and proposed solutions and outlining business impact.
- Creating functional specifications for solutions and simplifying information, deciphering technical jargon so it is easily understood by the whole team.
- Overseeing the implementation, the testing of the solution and supporting the business transition of a solution through the SDLC.
- Anticipating requirements, uncovering areas for improvement, helping the Product Owner to prioritize features and identify dependencies.
- Helping clients to correctly identify their needs regarding changes from internal and external factors.
- 3-4+ years of experience working as an IT Business Analyst.
- Knowledge of Agile Methodologies is a must.
- Business Analyst Certification or courses.
- Experience with stakeholder engagement.
- Critical thinking and problem solving.
- Decision making expertise around requirement prioritization, scope, assessing viability of solutions.
- Good grasps of best practices for challenging requirements.
- Good abilities to document and write business solutions
- Previous experience working with large projects and Scaled Scrum, SAFe or Lean.
- Mathematical knowledge or betting industry knowledge is a plus.
- Confident presenter (ability to present and pitch findings and recommendations to senior leaders and to manage stakeholder meetings).
- Confidence working with complex data systems.
- Technical knowledge or Degree in Computer Science or similar certification is a plus.
- Time management and organizational skills.
- An interest in and understanding of project management techniques.