SEARGIN IS HIRING!!
We are looking for Business Analyst to join for hybrid project.
Allocation: 40 hours a week
Contract: 12 months with opportunity to extend
Location: San Francisco (3 days onsite)
We are seeking mission-driven, passionate, self-starting, and a creative individual to join our diverse community of smart, fun, wholehearted, and engaged teams. The candidate will lead writing and maintaining program documentation and partner on design, development, installation, implementation, modification, support, and launching of new platform/applications including analyzing functional and systems requirements, developing application architecture and validating data acquisition and output. Other areas may include working with users to test, debug, and troubleshoot applications, assuring software and systems quality and functionality, and ensuring the rigorous application of information security/information assurance policies, principles, and practices.
Responsibilities:
As a Business Systems Analyst on the product team, you will:
● Partner with internal stakeholders to identify and analyze requirements to define scope, objectives, and feasibility analysis. Create a comprehensive Product Requirement Document and detailed Product Roadmap for Genentech’s AI/ML Platform
● Prepare robust technical reports and create diagrams, workflow maps, or other visuals to facilitate enhanced system understanding
● Produce detailed wireframes and mockups using visualization tools for prototyping
● Work closely with Data Management & Architecture teams to maintain awareness of accessibility, compliance, and security policies and guidelines
● Lead portions of large tasks or projects; build and maintain project management skills
● Participate in the implementation of system patches, updates, and maintenance
● Collaborate with Product Managers, Project Managers/Scrum Masters, Architects, Engineers, Developers, Quality Assurance, and User Experience Designers on scope, solutions, constraints, and risks
● Collaborate with cross-functional IT organization to streamline solution implementations to maintain records of system integrations, changes, and incidents
● Develop and execute test plans, as well as other quality assurance measures; lead testing such as user acceptance, performance, security, usability, etc.
● Provide timely dissemination of communications for system changes; determine support and resource requirements associated with each change
Additional description:
Very strong business and soft skills, needs to have experience with managing different stakeholders, user stories, workshops, requirements managements etc. Strong BA skills will be much more important than tech skills or background in AI/ML
Qualifications:
● [Education]: Bachelor’s degree in Business Administration/Information Systems or related field; Master’s degree in Business or Science is preferred
● Very strong business and soft skills, needs to have experience with managing different stakeholders, user stories, workshops, requirements managements etc. Strong BA skills will be much more important than tech skills or background in AI/ML
● [Domain]: Overall 5+ years of experience as Business Systems Analyst in Pharmaceutical or Tech Industry in AI/ML Domain. Preferred experience in marketing/finance data modeling and analytics
● Experience of working in end-to-end software development lifecycle
● [Non-negotiables] Hands-on expertise with Jira, Confluence, Trello, Lucid Chart and Google Suite
● [Non-negotiables] Excellent communication (written and oral) and presentation skills; solid business acumen of US Commercial Market in Pharma industry; well-honed influencing skills are essential
● Demonstrated success in handling initiatives of high complexity, high profile, and large-scale programs
● Self-motivated and team-oriented; able to work both autonomously and effectively as part of a geographically dispersed team; accountable to meet project deadlines
● Must have for data and hands on experience with data related initiatives
● Understanding and experience in ML and data science concepts is preferred
● Understanding and experience in AWS cloud data storage and processing is preferred
