Posted:2 weeks ago|
Platform:
On-site
Full Time
• Conduct impact analysis to understand potential ripple effects of new features
across research workflows
• Partner with stakeholders across business and tech to gather, clarify, and groom
product requirements
• Prepare wireframes, user stories, and documentation that support scalable
platform enhancements
• Detail functional and non-functional requirements with clarity, precision, and
traceability
• Drive structured sprint planning, grooming, and backlog refinement to maintain
team velocity
• Support testing and validation of platform features through demos and
walkthroughs
• Coordinate post-release evaluations and recommend iterations based on KPIs
and user feedback
• Act as a core liaison between engineering, business, and client-facing teams
• Document product decisions, sprint outcomes, and platform metrics for
stakeholder updates
• Facilitate internal comms between product, data, and delivery leads to ensure
• Advocate for user-first design and consumer-driven experiences throughout
research touchpoints
• Explore and adopt new digital tools that enhance automation, engagement, and
insight generation
• Collaborate with data science and insights teams to build intelligent
segmentation and predictive workflows
• Bachelor's degree in Business, Computer Science, Statistics, or related field;
Master’s in Business Administration preferred
• 3+ years of experience in business analysis within SaaS, digital platforms, or
research tech environments
• Proficiency in JIRA, Confluence, analytics dashboards, and mockup tools
• Strong grasp of Agile delivery, KPI frameworks, and stakeholder management
• Exceptional documentation, process mapping, and cross-functional
communication skills
• Exposure to digital research platforms, panel recruitment, survey distribution, or
global consumer insights systems
• Experience working with data teams on audience segmentation and predictive
analytics
• Proven success in launching features that drive engagement, retention, and
operational scale across digital platforms
Wenger & Watson
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