עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לחפש לבד בין מאות מודעות – תנו ל-Jobify לנתח את קורות החיים שלכם ולהציג לכם רק הזדמנויות שבאמת שוות את הזמן שלכם מתוך מאגר המשרות הגדול בישראל.
השימוש חינם, ללא עלות וללא הגבלה.
Description:
We are monday.com, a global software company transforming how businesses run. Our product suite can adapt to the needs of diverse industries and use cases within one powerful platform, empowering ~245,000 customers worldwide to reimagine how work gets done, drive greater efficiency, and scale like never before.
With over 2,500 employees across the globe, we grow by prioritizing transparency and knowledge sharing. We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.
About The Role:
We’re looking for a strategic, business-minded data analyst to join our Customer Organization (CCO) business analytics team. We partner with Customer Success, Onboarding, Support, and Professional Services to deliver data‑driven insights that power world‑class customer experiences and industry‑leading net revenue retention. This role is ideal for someone who is equally comfortable in analyzing data as they are in engaging with stakeholders — a curious, insight-driven thinker who thrives on turning data into clear recommendations that guide business decisions.
You’ll act as a business partner to Customer Success and Customer Experience leadership. You will own the end-to-end analysis, from building dashboards, writing SQL queries, to shaping strategy and uncovering actionable insights that elevate how we build relationships with our customers.
What You’ll Do
- Partner closely with business and cross-functional teams to understand business problems and proactively surface insights that influence strategy and execution.
- Lead end-to-end analysis projects, from framing key questions and forming hypotheses to analyzing the data and presenting compelling recommendations.
- Facilitate ongoing business reviews and presentations by translating complex data into simple, compelling stories.
- Develop metrics, dashboards, and deep‑dive analyses on NDR, GDR, churn, adoption, and product usage to surface growth opportunities and risk signals.
- Support operational improvements and new initiatives with relevant data analysis and strategic input.
- Collaborate with BI developers and data engineers to improve data accessibility and structure.
Requirements:
- 5+ years of experience as a Data Analyst / Business Analyst / Customer Success Analyst in a SaaS company, with experience working closely with customer interface teams.
- Strong SQL skill is a must.
- Proven experience designing data models and building self‑serve dashboards in Looker, Tableau, Power BI or comparable BI tools is a must.
- Proven experience turning data into clear business recommendations that drove measurable results.
- Excellent data storytelling and visualization skills— Effectively communicate data trends and insights to both technical and non-technical stakeholders.
- Collaborate effectively with stakeholders across various teams and levels to align on goals and drive decisions.
- Fluent in English & comfortable communicating with stakeholders around the globe.
- Familiarity with customer‑centric platforms and CRM systems (e.g., Salesforce, Zendesk), as well as key CS and CX metrics (e.g., CSAT, and Retention), is an advantage.
- Experience supporting client-facing departments or business operations teams - an advantage.
במקום לחפש לבד בין מאות מודעות – תנו ל-Jobify לנתח את קורות החיים שלכם ולהציג לכם רק הזדמנויות שבאמת שוות את הזמן שלכם מתוך מאגר המשרות הגדול בישראל.
השימוש חינם, ללא עלות וללא הגבלה.
שאלות ותשובות עבור משרת Senior Business Data Analyst
כאנליסט/ית נתוני עסקי בכיר/ה ב-monday.com, תהיה/תהיי שותף/ה עסקי/ת לצוותי הצלחת לקוחות וחווית לקוח. תפקידך יכלול ניתוח נתונים מקצה לקצה, בניית דשבורדים, כתיבת שאילתות SQL וגיבוש אסטרטגיה כדי לשפר את הקשרים עם הלקוחות ולספק תובנות מונחות נתונים.
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