לוח משרות דרושים Senior Product Analyst

We're looking for someone who's data-driven with excellent product analytics experience and storytelling skills to partner with our product team , and drive profitable growth and active use of our capital business.
As a key member of the team, you will have a strong track record of combining technical skills, an understanding of product analytics, and exceptional problem-solving acumen.
Responsibilities
Partner with product managers, marketing, and engineering to enable decision support and key customer insights
Partner within the team to measure the impact of product strategy and answer ad-hoc analytic questions and train users to self-serve standard reports leveraging Tableau
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, AB testing, insight generation, visualization, and action planning
Provideguidanceand thought partnership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
Ensure data infra is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases.

We are seeking an accomplished Senior Product Analyst to be a strategic analytics partner to product teams throughout the entire product lifecycle. In this role, you will spearhead data-driven discovery, experimentation, optimization, and go-to-market enablement for new products and features. As the analytics expert, you will provide strategic guidance across departments, leveraging your extensive business analysis background. The Senior Product Analyst will be instrumental in decoding product performance and user behavior, identifying opportunities, and driving continuous improvement. If you have a strong product analytics foundation along with excellent storytelling abilities to influence product decisions, this could be an ideal next career step.
Location: Tel Aviv, Israel
Hybrid
Full-time
What youll do: 
Act as the embedded analytics partner for product managers from ideation through discovery, research, planning, execution, and launch.
Conduct deep-dive analyses to uncover customer needs, validate hypotheses, estimate business impact, and monitor KPIs during all product lifecycle stages.
Design and execute experiments and A/B tests to validate new features.
Analyze results, synthesize insights, and deliver product optimization recommendations.
Build robust, self-serve dashboards, reports, and alerting to track core metrics and enable self-serve data-driven product decisions.
Proactively analyze customer data, usage patterns, and market trends to surface opportunities and potential friction areas.
Partner with data engineering to influence the data platform roadmap based on evolving data needs.
Embrace process improvements and automation by championing new analytics capabilities.
Mentor other Product Analysts.

Were looking for a curious and proactive Product Analyst with strong analytical and technical skills. Someone who loves digging into user-level data, analyzing funnels and experiments, and turning insights into product improvements. The ideal candidate has an appetite for problem-solving, collaborates closely with product managers and developers, and influences decision-making with data-driven recommendations.

We move quickly, were agile and dynamic, and we work in a fun and challenging environment.

In this position, you will:
Partner closely with product managers, designers, and developers to evaluate product performance and guide decisions with data.
Design, run, and analyze A/B tests and experiments to measure impact on user behavior.
Analyze user-level funnels and journeys to uncover friction points and opportunities for growth.
Build and maintain informative, actionable dashboards and reports for monitoring product KPIs and enabling self-serve analytics.
Provide methodologies and frameworks to accurately measure product performance, feature adoption, and long-term user retention.
Write advanced SQL queries and leverage Python or statistical tools for deep-dive analyses.
Proactively surface insights and hypotheses that can inspire new product initiatives.