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  • Published: May 8, 2022
Job Type
Level of education
High school
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years


Join Workiz!

We are a small startup, cloud-based platform that powers field service business in US & Canada. Workiz’s mission is to empower service professionals into business professionals, where customers can take full control of their end-to-end flows, from jobs scheduling and management, calls, invoices, and reports all in one place. Workiz helps getting more jobs done, work easier and grow smarter. Workiz ranked number four in top 10 solutions for service professionals in the United States, serving more than 2,000 happy customers and our most recent funding was series C of $40M in October 2021.

About the Role

As a Data Analyst at Workiz you will work closely with the different teams to proactively find and act on existing opportunities, using the most powerful resource - data. You should have a strong analytical background, high proficiency in SQL and data visualization, and a strong understanding of the business. You can tell the story behind complicated numbers in a simple way, and the ability to use quantitative analysis methods to do so exceptionally.

As a part of the Business Operations team, you will be at the heart of Workiz business and have a major impact on strategic decisions that will move the needle.

What You’ll Do

- Work with quantitative analysis methods to interpret data, analyze results and create projections.
- Take part in building complicated data-driven processes that will help the different departments easily make their day-to-day decisions based on data.
- Develop and implement databases, data analytics, and other strategies that optimize efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Work with management to prioritize business and data requirements.
- Locate and define new process improvement opportunities

What We Are Looking For

- Experience in data analysis in a SaaS company.
- Experience in leading data-related projects end-to-end with key stakeholders in departments like Product, Marketing, Sales, Customer Success, or Executive Management
- Quick learning ability and a proactive drive suitable for the startup hustle.
- High proficiency in Excel/Google Sheets and SQL.
- Generate actionable insights and opportunities from diverse and complex data sets.
- Proven experience with building dashboards that helped influence key KPIs.
- Experience with data modeling & schema design in data warehouses.
- Experience working with Sisense is a great advantage.

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