Data Analyst

We're reshaping the future of resourcing and consulting. By making the right connections, from analyst to expert, we help ambitious companies and people achieve meaningful growth.

• Over 3 years of work experience in similar position
• Bachelor Degree in business administration, economics or engineering;
• Excellent spoken and written English
• Strong analytical skills, ability to discover requirements underlying feature requests, recommend alternative technical and business approaches while working with unstructured datasets
• Ability to handle multiple projects areas with changing priorities and meet challenging deadlines in a fast paced environment
• Good understanding of data warehousing, data modeling, database design, business intelligence and their processes
• Hands-on knowledge about financial systems would be a plus
• Experience with, database and reporting tools (SQL and Power BI/Tableau)
• Experience in working with Agile methodology is an advantage
• Experience in BPMS and Modeling Workflow automation projects is an advantage

• Acts as a SPOC for internal and external parties involved in the project in different stages of the software development process, such as pre-sales presentations, gathering requirements, solution design, functional and user acceptance testing.
• Assesses the current state of the business and IT landscape to identify gaps, transition and integration requirements, recommends improvements and define the acceptance criteria. Focus on implementing analytical requirements.
• Communicate with precision: Crafts high quality and detailed diagrams, reports and presentations as needed.
• Collaborate with data modelers, architects, developers and source system analysts to define source system output files structure, ensuring the quality of the data and considering non-functional requirements (security, performance, availability or scalability).
• Create requirements mappings for the business terms defined by the business stakeholders and source to target mappings for the logical & physical model defined by the data modelers.
• Elaborates features and transform them into stories for the implementation backlog in order to enable the team to implement solutions that will meet the business stakeholders’ needs.
• Work closely with the team daily: developers, testers, product owner, delivery manager, in order to ensure the team keeps the product vision and priorities in mind.
• Participate in handover, end-user training and deployment activities. Provides consulting and technical support to the end-users
• Ensure that workflow and internal (IT) procedures are applied within the business process and it is compliance with external and internal regulations and procedures