Senior Business Intelligence Analyst – Product Analytics
New
Z
ZoomInfoB2B SaaS
Location: RemoteFull-TimeSenior
Salary112,840 - 177,320 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLBusiness IntelligenceProduct AnalyticsCross-functional collaboration
Requirements
- 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles.
- Demonstrated experience within B2B SaaS or technology organizations.
- Strong SQL skills and experience working with large-scale datasets.
- Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis.
- Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders.
- Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance.
- Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences.
- Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows and enhance data exploration.
- Demonstrated experience influencing product, business, or operational decisions through analytical insights.
Responsibilities
- Partner with Product Managers and Engineering leaders to analyze customer workflows, user behaviors, and product engagement.
- Define success metrics and measurement plans for product launches, features, and strategic initiatives.
- Develop and refine KPIs and measurement frameworks to align teams around product and business performance.
- Define event tracking requirements and ensure product telemetry supports meaningful analysis.
- Quantify opportunity sizes to help Product teams prioritize investments based on customer value and business impact.
- Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes.
- Design and communicate results from experiments and feature launches to evaluate impact.
- Present analytical findings through clear narratives and visualizations to technical and non-technical stakeholders.
- Contribute to scalable analytics best practices and leverage AI-powered tools to improve research efficiency.
View Full Description & ApplyYou'll be redirected to the employer's site
