Company
Business Intelligence & Analytics
SeniorBusinessAnalyst(Platform)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Business Analyst (Platform). Skills: Business analysis, Data analysis, Experimentation. Measure platform and security changes. Design and analyze experiments”
Industry & Context.
Distill complex data into clear, actionable insights
What They're Looking For.
Must Have
5–7 years of experience, Bachelor's degree, technical and analytical SQL skills, oral and written communication skills, Excellent attention to detail
Nice to Have
Python experience a plus, Proficiency with data visualization tools
What You'll Do.
Measure platform and security changes
Design and analyze experiments
Analyze member sign-in and purchase funnels
Identify drop-off points
Recommend optimizations
Partner on cost analysis
Build dashboards and reports
Provide ongoing visibility
How You'll Work.
Team & Collaboration
Analytical thought partner
Communication Scope
Presenting to senior leadership
Full Job Description
## RESPONSIBILITIES Business Impact Analysis: Measure how platform and security changes — such as authentication flows, account policies, and infrastructure decisions — affect key business metrics including conversion, engagement, and retention. Testing & Experimentation: Design and analyze experiments to quantify the tradeoffs between security controls and member friction, informing product roadmap decisions. Conversion & Funnel Analytics: Analyze member sign-in and purchase funnels across mediums and authentication methods, identifying drop-off points and recommending optimizations. Cost & Infrastructure Analytics: Partner with Finance on Gross Margin, COGS, and cloud hosting cost analysis, helping the team understand unit economics and availability tradeoffs. Reporting & Visibility: Build dashboards and reports to provide ongoing visibility into the account, password, and security landscape - tracking progress toward team goals. Strategic Partnership: Serve as the analytical thought partner to the team. ## QUALIFICATIONS 5–7 years of experience in a deeply analytical role, preferably within a product, platform, growth, or engineering-focused environment. Bachelor's degree in Business, Economics, Math, Statistics, Data Science, or a related field. Strong track record delivering value in an analytics organization - preferably in a direct-to-consumer or technology environment. Have a creative approach to problem-solving - demonstrated ability to distill complex data into clear, actionable insights and effectively communicate them to stakeholders. Strong technical and analytical skills; SQL skills required, Python experience a plus. Strong oral and written communication skills, with comfort presenting to senior leadership. Excellent attention to detail with the ability to handle multiple tasks efficiently. Proficiency with data visualization tools.
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