Business Analyst
TSRRedwood City, CAConduct Gap analysis, map business workflow/data flow to find a root cause, and translate business problems for technical needs.Develop solid business cases to drive value creation through alignmen... Show more
Sql data analyst • san mateo ca
Conduct Gap analysis, map business workflow/data flow to find a root cause, and translate business problems for technical needs.Develop solid business cases to drive value creation through alignmen... Show more
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The average salary range is between $ 85,000 and $ 125,263 year , with the average salary hovering around $ 95,000 year .
The average salary range is between $ 77,499 and $ 126,740 year , with the average salary hovering around $ 97,399 year .
Summary
• Conduct Gap analysis, map business workflow/data flow to find a root cause, and translate business problems for technical needs.
• Develop solid business cases to drive value creation through alignment to business objectives and priorities, business process analysis, and information flow analysis.
• Elicit and translate complex business requirements into technical artifacts, including user stories, wireframes, prototypes, information flow diagrams, and process maps.
• Work with stakeholders to identify qualitative improvements and articulate quantitative benefits of implementing solutions.
• Collaborate with IT project management, delivery teams, and scientists for the delivery of solutions.
Key Competencies:
Required
• Demonstrated knowledge of key business analysis skills, including stakeholder analysis, SWOT analysis, Gap analysis, root cause analysis, business architecture.
• Ability to build productive, trusted relationships with stakeholders at all levels and IT staff.
• Ability to translate scientific business needs into compelling business cases and rational solutions, which leverage enterprise technologies and align with roadmap.
• Strong domain expertise in the application of IT in Biotherapuetics & preclinical research (automation, , sample datarequest management) including a broad understanding of typical scientific processes, data flow and instrumentation.
• Good collaboration and communication skills; ability to organize and present ideas in a convincing and compelling manner; ability to communicate effectively with both technical and non-technical teams.
Ideal Candidates Would Also Have:
• Knowledge of Biotherapeutics research and development, and Pharmaceutical and related industries. Molecular Biology, and/or Protein Engineering experience preferred.
• Knowledge of Pharmaceutical/Biotech research infrastructure and operations.
Other Qualifications
• BS Degree in Life Science; an advanced degree (MS or PhD) is preferred;
• Pharmaceutical/Biotech industry background with at least 5+ years of lab experience, post-grad.
• Information Technology background with at least 5+ years of experience in IT; roles involving business analysis, data analytics, and/or informatics.
• Development or end-user experience with various industry-standard applications such as; MS Excel/VBA, GraphPad Prism, Genedata, Geneious for sequence alignment, LIMS, and/or Spotfire.
• Familiarity/experience with one or more of the following: scripting language, scientific instrumentation (Mass-Spectrometers, Lab Automation, etc.).