monday.com Published: July 24, 2019
Job Type
Level of education
Undergraduate
Spoken Language needed
English
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years

Description

We’re looking for a Senior Product Analyst with great storytelling skills, an eye for detail, great communication, and a keenness for problem solving. You will ensure data and insights are actionable to drive decisions across the business and communicate data-driven insights and recommendations to key stakeholders at all levels. You will work closely with cross-functional teams of product managers, designers, developers and others across the company in order to uncover opportunities to drive our product’s growth/quality.

The Role
- Conceptualize, create, and maintain dashboards for tracking key metrics and experiments.
- Design and draft regular reports of progress towards company goals to product groups and stakeholders.
- Refine and improve definition of metrics as the company’s challenges and data evolve.
- Collaborate with data engineers to better log data and manage the accessibility of data tables.
- Carry out ad hoc descriptive analysis according to business needs.
- Strategize on making analyses easily repeatable and generalizable by other team members in the future

Requirements

- Have minimum of 5+ years of experience in a similar data analyst role
- Proficiency level of SQL - MUST
- Great storyteller and communicator, and can build relationships with a diverse set of stakeholders.
- Deep understanding of numbers, as well as a strong business sense. Know when to use a single number and when to build a complex forecasting model
- Capable of tackling ambiguous problem spaces and challenges
- Passion for making sense of user behaviour, using any available methods and a dedicated advocate of a user-centered approach in product development
- Curious, independent and rigorous
- Technical competence to perform advanced analytics with large datasets with technologies such as Python, Pandas, R, SQL
Apply
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