Top Requirements:
Use Case Development: Develop detailed use cases and user stories that define how users will interact with the product, including specific scenarios, inputs, and expected outputs.
Data Requirements: Work closely with data scientists and data engineers to determine the data structure/need to enable the feature Have closely worked as a BSA Collaborating with Cross-functional Team [Vendor , Data Science , Data Engineers , Business Stakeholders , QA Team]
Have sound understanding and engagement of an Application Delivery {Data Science/ AIML product (nice to have exposure) } and the BSA role in that entire journey Have sound understanding of Data driven application
Analytics & Insights - Business Systems Analyst
San Francisco, California, United States
Description
Allocation: 40 hours a week
Contract: 12 months with opportunity to extend
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 Company’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
Requirements
Qualifications:
[Education]: Bachelor’s degree in Business Administration/Information Systems or related field; Master's degree in Business or Science is preferred
[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
