עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
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.
What makes Workiz unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if you’re willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
Workiz is located in the heart of Tel Aviv, just a short walk from the Hashalom train station. Our open-space offices can accommodate our 100+ employees and when we are not hard at work, you can find us relaxing with a cup of coffee on the balcony or surfing the TLV beaches. Workiz understands that you have a life outside of the office, so we have a flexible work week that allows you to work 3 days from the office and two days from home, but you won't want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization
Requirements:
Ideally, we’re looking for
2+ years of hands-on experience as a data analyst (preferably in a B2B SaaS company)
Vast experience in SQL and visualization tools such as Sisense, Tableau, Looker, etc
Strong understanding of DWH architecture and methodology
Strong skills in data modeling and business logic processes
Excellent communications skills in English
These would also be nice
Familiarity with HubSpot, Marketing Platforms & Sales and marketing flows
Familiarity with Stripe
Experience with BigQuery data warehouse and Sisense visualization tool
B.Sc relevant degree
Over 700 in the Psychometric test
Hiring process with us
At Workiz, we aim to complete our hiring processes at lightning speed, keeping the time between when we receive your CV until you (hopefully) sign with us super short, communicative and transparent.
Why You’ll Love Being a Workizer
You’ll actually love the product you work with and the people too:)
Excellent benefits
Team players. Rockstars without the ego. Fast learners that work hard and get S*** done.
There is no such thing as a bad idea
40% female %60 male
You can grow your career in any direction you choose
Diversity isn’t just a buzzword
We know how to have fun! Join our surf club, ping pong tournaments and other spontaneous activities. Oh, and we throw some killer parties
We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties
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.
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