Seebo Published: August 20, 2019
Job Type
Level of education
Spoken Language needed
Hebrew, English
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years


Seebo is looking for a hands-on, business-oriented and highly motivated Data Analyst to join our Data Solutions team. We are looking for a strong analytical person with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In addition, you will need to be a people’s person, who will be able to establish a strong connection with Seebo’s customers.

What you'll do
- Take part in the delivery of various industrial projects, deploying the Seebo solution with leading global manufacturers
- Understand customer’s business pains, manufacturing process, and relevant data
- Be the owner of the integration to the production line’s data sources and ingest the data into Seebo’s schema
- Implement ETLs using data processing code and ETL tools (such as Azure Data Factory)
- Define and deploy data models customized to specific customer cases
- Perform exploratory data analysis on customer’s data to gain business insights and prepare the ground for deploying Seebo’s AI algorithms
- Design data visualization and build BI reports
- Work closely with product and data science team
- Take part in developing the company data processing capabilities and infrastructure


- At least 3 years of experience in advanced data analytics, either in the industry or academia
- Strong analytical and problem-solving skills
- Good knowledge of SQL and experience working with relational DBs
- Experience in designing BI tools and reports using state-of-the-art BI platforms
- Ability to multitask and handle various priorities in a high paced environment.
- Fast learner
- BA/BSc in Engineering or Exact Sciences from a leading university

- Python programming experience for data manipulation & analysis.
- Familiarity with the manufacturing world - incl. industrial/process engineering concepts, operational excellence frameworks and relevant OT/IT systems
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