2- 4 years of relevant business analysis experience in data and analytics, preferably in the life sciences domain
Bachelor's or Master’s degree in business administration, technology or other quantitative domains
Duties & Responsibilities
Develop and maintain information management systems, and data dictionary across enterprise information management systems.
Review application and technical architecture deliverable throughout development to ensure quality and requirement traceability.
Architect, design, develop & implement Master Data Management, Data Warehouse, Reporting Analytics and Big Data Lake Solutions.
Travel/relocate to various unanticipated locations as required.
Consult with key business stakeholders to determine business objectives and success factors, collaborate with team members to collect, analyze, and evaluate information from multiple sources.
Conduct business analysis, hypothesis testing and research to identify key metrics and opportunities for improvement. Present findings and recommendations to stakeholders.
Develop deep understanding of the client’s data ecosystem, data models, analytics needs and AI/ML maturity.
Write and document business requirements, functional requirements, and design specifications for solution architecture and technical solutions teams.
Work with solution architecture and solutions teams to develop a solution that meets business requirements.
Collaborate with solution delivery teams to ensure functional and technical convergence of implementation within agreed timelines and success measures.
Continuously improve existing business processes and strive to develop new ones to improve efficiency.
Own client issues/production incidents, triaging (technical, data, and functional), assignment, and resolution. Work closely with data ingestion, data analytics, and other application teams to identify root cause, potential solutions, and future mitigations to ensure process robustness.
Contribute towards development of strategic assets, strategy roadmaps and products to enhance RoI and customer experience.
Capability to drive an independent workstream in the context of a broader client engagement.
Ability to break down and solve problems through quantitative thinking and analysis.
Ability to communicate effectively, both verbally and in writing, in English.
Previous exposure in data and cloud technologies, specifically in cloud data migration, data warehousing, analytics, and AI/ML