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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
17,000-24,000 ₪
Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, Engineers, and GTM teams to improve how we use data across a growing suite of B2B SaaS products.
Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports using Snowflake, Redash, Metabase, Hellicone and Mixpanel to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.
Develop SQL queries and models to ensure data integrity and availability for decision-making.
Support cross-functional metric alignment and data governance across Product and GTM functions.
Introduce best practices for data analysis.
Product Operations
Partner with product managers to maintain tools like Jira and Jira Product Discovery, ensuring consistent tracking and clean instrumentation.
Contribute to the OKR process, including progress tracking, performance reporting, and cross-team alignment.
Support and improve operational cadences - including product performance reviews, roadmap tracking, and release reporting.
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Help scale best practices in how product and GTM teams use data to inform decisions.
Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports using Snowflake, Redash, Metabase, Hellicone and Mixpanel to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.
Develop SQL queries and models to ensure data integrity and availability for decision-making.
Support cross-functional metric alignment and data governance across Product and GTM functions.
Introduce best practices for data analysis.
Product Operations
Partner with product managers to maintain tools like Jira and Jira Product Discovery, ensuring consistent tracking and clean instrumentation.
Contribute to the OKR process, including progress tracking, performance reporting, and cross-team alignment.
Support and improve operational cadences - including product performance reviews, roadmap tracking, and release reporting.
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Help scale best practices in how product and GTM teams use data to inform decisions.
Requirements:
24 years of experience as a Data Analyst, Product Analyst, or similar role in a B2B SaaS environment.
Advanced SQL Proficiency: Ability to write complex, performant queries (CTEs, Window Functions) to extract insights from large datasets.
Cloud Data Warehousing: Hands-on experience with Snowflake (or similar platforms like BigQuery/Redshift).
Self-Service BI: Proven track record building and maintaining dashboards in Metabase or Redash to empower non-technical stakeholders.
Product Analytics: Experience leveraging Mixpanel (or Amplitude) to analyze user behavior and conversion funnels.
Solid understanding of SaaS and product metrics
Experience collaborating with both Product and GTM teams to define and measure success.
Excellent analytical and communication skills - able to turn complex data into actionable insights.
Proactive, hands-on mindset with attention to detail and a passion for improving workflows.
24 years of experience as a Data Analyst, Product Analyst, or similar role in a B2B SaaS environment.
Advanced SQL Proficiency: Ability to write complex, performant queries (CTEs, Window Functions) to extract insights from large datasets.
Cloud Data Warehousing: Hands-on experience with Snowflake (or similar platforms like BigQuery/Redshift).
Self-Service BI: Proven track record building and maintaining dashboards in Metabase or Redash to empower non-technical stakeholders.
Product Analytics: Experience leveraging Mixpanel (or Amplitude) to analyze user behavior and conversion funnels.
Solid understanding of SaaS and product metrics
Experience collaborating with both Product and GTM teams to define and measure success.
Excellent analytical and communication skills - able to turn complex data into actionable insights.
Proactive, hands-on mindset with attention to detail and a passion for improving workflows.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
ערב
4 חודשים
