דרושים » תוכנה » Principal Product Analyst (Cortex)

Requirements:
To thrive in this role, youll need:
2+ years of experience in a data analytics, BI, or Product Analytics role.
Hands-on experience with SQL and BI tools.
Bachelors or Masters degree in an analytical field (Science, Engineering, Statistics, Economics, Mathematics, or similar), or equivalent analytical experience.
Experience analyzing large datasets and translating findings into product recommendations.
A self-driven mindset with a passion for leveraging AI to automate workflows and improve analytical processes.
A strong sense of product ownership and proactivity to fully own a product domain, anticipate business needs, and continuously research and adopt evolving data methodologies.
Exceptional communication and collaboration skills with excellent English, and the ability to distill complex data insights into clear, actionable narratives for PMs, Engineering, and cross-functional partners.
Bonus points if you have:
Experience working as a Product Analyst or within a product-focused team.
Experience with Python, R, statistical analysis, or building AI-powered tools, automations, or agents.
How youll make an impact:
Partner with Product Managers to define product KPIs, evaluate performance, and drive product strategy through data.
Design, analyze, and optimize A/B experiments to improve product performance and user experience.
Build dashboards, data models, and AI-powered analytical tools that automate reporting and accelerate insights.
Create self-service analytics solutions that empower Product, Engineering, and cross-functional teams to explore data independently.
Lead multiple analytical initiatives, providing strategic recommendations based on statistical research and business needs.
Collaborate with Product and Engineering teams to identify opportunities, solve complex problems, and continuously evolve analytical methodologies using AI.

Requirements:
4+ years of proven experience leading product teams, with a strong track record of growing people and helping them succeed.
Startup mindset: comfortable with ambiguity, fast growth, and evolving processes, while maintaining focus on scalable solutions.
Proven experience leading B2B products and collaborating with partners and strategic customers to deliver impactful solutions.
Strong technical orientation and curiosity, with the ability to quickly understand complex data systems.
Excellent communication and stakeholder management skills, able to explain complex technical concepts in clear, actionable terms.
Experience leading large-scale data platforms, including data ingestion, transformation, and access layers.
Ability to define and track success metrics, analyze performance, and iterate to optimize platform impact.

Requirements:
1+ years of experience as a Product, Data, or BI Analyst (A must).
Proven and strong experience in SQL (A must - BigQuery is an advantage).
BS in Engineering, Computer Science, Mathematics, Economics, Statistics, or an equivalent background.
Basic understanding of A/B testing and statistics.
Strong storytelling, communication, and presentation skills with various levels of management.
Familiarity with BI visualization tools like Tableau (Advantage).
Experience working for a B2C or e-commerce company (Advantage).
Experience with Google Tag Manager and Google Analytics (Advantage).
Experience with Python and JS (Advantage).

Requirements:
3+ years of experience as a data, product, or business analyst, ideally at a fast-growing consumer company
A degree in Industrial Engineering, Mathematics, Statistics, or a related field
Strong SQL skills and hands-on experience with BI tools (Looker, Tableau, Mixpanel, or similar)
Familiarity with A/B testing best practices and comfort working with complex datasets
The ability to work fluidly across product managers, data engineers, and data scientists, and to communicate technical findings clearly in English
Ready to work in an office environment most days of the week

Requirements:
1+ years of experience in an analytical, product, or project-focused role (e.g., Product Analyst, Product Manager, Tech Project Manager, or Growth Analyst).
Hands-on experience with SQL and the ability to analyze data to uncover insights and opportunities.
Experience using data to identify trends, evaluate performance, and support product decisions.
Experience leading projects or initiatives end-to-end, collaborating with product, engineering, and cross-functional teams.
Ability to quickly learn new domains, tools, and technologies while taking ownership of complex challenges.
Bonus points if you have:
Experience with data visualization tools such as Tableau or Power BI.
Familiarity with A/B testing, experimentation, and product optimization methodologies.
How youll make an impact:
Analyze user engagement, product performance, and business metrics to identify product optimization opportunities.
Develop data-driven ideas and strategies to improve revenue, monetization, and user engagement KPIs.
Lead product optimization initiatives from ideation through execution, partnering with product, UX/UI, and engineering teams.
Define requirements, create technical specifications, and guide teams through implementation.
Design and analyze A/B tests to measure the impact of product changes and new features.
Present insights and recommendations to stakeholders to support data-driven decision-making.

Requirements:
BSc/BA in Industrial Engineering, Computer Science, Statistics, or a related field
Strong SQL skills - a must
3+ years of experience as a Product / Data / Business Analyst in a data-driven online company
Proven experience with A/B testing methodologies and statistical analysis
Experience working closely with Product Managers and cross-functional teams
Strong business understanding and ability to translate data into product and business impact
Ability to manage multiple initiatives in parallel and work independently
Experience with BI tools such as Tableau.

Requirements:
* 2-4 years of experience as a Digital Analyst or Product Analyst
* Strong hands-on experience with BigQuery and SQL, including nested fields and window functions
* Deep understanding of the GA4 event model and experience analyzing raw GA4 data
* Experience building dashboards in Looker Studio, preferably on top of BigQuery
* Familiarity with semantic layer concepts and data modeling
* Native-level Hebrew - mandatory, for ongoing work with Israeli clients and within a fully Hebrew-speaking work environment
* Strong technical English Nice to Have
* Experience with Python (Pandas, APIs) and Git
* Familiarity with dbt, Dataform, Datastream, or Google Cloud Platform (GCP)
* Familiarity with LLMs and agent frameworks such as LangChain or Vertex AI
* Experience implementing tracking solutions using Google Tag Manager (GTM)