ironSource
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  • Published: June 22, 2022
Category
Job Type
Level of education
High school
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years

Description

ironSource Aura is seeking an experienced and data-driven DS data analyst to join our growing team.

Our data team is a core business & data oriented team in Ironsource that leads BI & DS solutions to various products that drive content recommendations to over 300M active devices around the world.

As a DS data analyst, youll analyze our data and mine insights that will make a major impact on ironSource success. Youll lead E2E projects, make data researches, define & analyze AB tests, develop complex ETLs, and visualize the actionable insights.

Youll work directly with our DS team, cross-functional teams, and both internal and external customers to understand the business needs in order to provide reliable and creative solutions.

If youre a data sharp person, love analytical thinking, with technical skills and passionate about data, then this may be the perfect fit for you.

Come and help us turn billions of daily events into critical information, business insights, and graphical dashboards that will help make a meaningful impact on our business.

Responsibilities

- Work closely with the DS team and various stakeholders to build top of the notch ML solutions.
- Explore new data sources, research the data validity and adjust it to the needs of the ML algorithms.
- Provide quantitative analysis, make key recommendations and communicate your findings.
- Monitor model performance, analyze AB tests and provide actionable insights.
- Build ETLs and data pipelines using different tools (Airflow, Python and others).
- Work with a variety of relational and non-relational databases (Redshift, MySQL, MemSQL and others).
- Design and develop data visualization (Looker, Tableau, Quicksight and others).

Requirements

- 3+ years of experience as a data/BI analyst.
- Ability to collect, organize, and analyze a significant amount of information with attention to detail and accuracy.
- Advanced knowledge in SQL.
- Familiarity with Machine learning concepts.
- Experience with data manipulations and visualization using Python and Pandas.
- Experience working with ETL tools (Pentaho, Python, Jenkins or other).
- Ability to manage multiple tasks and drive them to completion.
- Ability to think critically when leading projects and take an initiative approach.
- A fun person to work with!

Advantage

- Experience working in a Data Science / Product Analysis in a high data-rich environment.
- Familiarity with statistical modeling and analysis techniques.
- Experience with creating data visualization insights (Looker, Tableau, Quicksight or other).
- Experience working with big data in a high scale environment.
- Experience in the online advertising industry.

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