About this role
As a Product Analyst you will drive data informed product
decisions by delivering actionable insights designing robust experiments and
deeply understanding user behaviour You will partner closely with Product UX
and Engineering to shape product strategy and improve customer experience
across the security products
Key Responsibilities
- Lead experimentation strategy Design execute and analyze AB
tests and quasi experiments to evaluate product and feature impact on
engagement retention and customer satisfaction
- Drive product insights Conduct deep dive analyses on user
journeys onboarding funnels feature adoption and retention cohorts to identify
growth and optimization opportunities
- Define and operationalize metrics Establish northstar
metrics KPIs and guardrails ensure consistent definitions across teams and
dashboards
- Enable product decision making Translate complex analyses
into clear actionable recommendations for product roadmaps and prioritization
- Improve data foundations Partner with data engineering and
platform teams to ensure high-quality telemetry scalable data models and
reliable reporting layers
- Leverage advanced analytics Apply statistical techniques
segmentation cohort analysis regression causal inference to uncover drivers of
user behavior and product performance
- Collaborate cross functionally Work closely with Product
Managers Designers and Engineers to embed analytics into the product
development lifecycle
- Mentor and elevate analytics practices Guide analysts on
experimentation design metric definition and storytelling best practices
- Communicate effectively Deliver clear compelling insights to
stakeholders and leadership through dashboards presentations and narratives
Requirements
- 5-8 years of experience in product analytics advanced
analytics or data science with strong product focus
- Strong experimentation expertise Handson experience
designing and interpreting AB tests and quasi experimental methods e.g.
difference indifferences matching
- Advanced analytical skills Proficient in SQL and Python for
data analysis strong foundation in statistics and hypothesis testing
- Product analytics experience Deep understanding of user
behavior analysis funnel optimization retention and feature adoption metrics
- Data visualization storytelling Experience with BI tools
such as Power BI Tableau or Looker to communicate insights effectively
- Telemetry data modelling knowledge Experience working with event-based
data and defining tracking for digital products
- Business and product acumen Ability to connect data insights
into product strategy and customer experience improvements
- Strong communication and stakeholder management skills with
the ability to influence decisions across teams
- Bachelor’s or master’s degree in a quantitative field a plus
Statistics Computer Science Engineering Mathematics or related
Skills
- Mandatory Skills: ANSI-SQL, Python for DATA
Tired of cold applications?
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Know someone who'd be great for this?