FAQs
What is the main focus of the Data Product Manager role at OLX?
The main focus of the Data Product Manager role is to deliver a robust data management and discovery ecosystem of tools and processes for internal users at OLX Europe.
How many years of experience are required for this position?
A minimum of 3 years of experience in designing or building data products as a product manager or equivalent role is required.
What skills are essential for this position?
Essential skills include a good understanding of data governance, data quality, data modeling, and data mesh principles, along with excellent English communication skills.
Is experience with data querying languages necessary for this role?
While not necessary, familiarity with data querying languages and technologies like SQL and Python is considered a nice-to-have.
What are the responsibilities of the Data Product Manager?
Responsibilities include acting as a liaison between internal users and engineering teams, analyzing user feedback, collaborating on product roadmaps, tracking success metrics, optimizing development cycles, and onboarding users.
What benefits does OLX offer for this position?
Benefits include a permanent contract, salary with an annual bonus, a training and conference budget, health and life insurance, and a MacBook Pro with necessary accessories.
How often will the Data Product Manager present metrics to the leadership team?
The Data Product Manager will present metrics to the OLX leadership team on a frequent basis.
Is prior experience with analytical tools like Tableau or Superset required?
No, but experience with analytical tools is appreciated and considered a plus.
What is the company culture at OLX regarding diversity and inclusion?
OLX is committed to creating a diverse, inclusive, and authentic workplace, encouraging individuals from various backgrounds to apply.
What is the significance of the data team’s mission at OLX?
The data team’s mission is to establish a high-performing data management and discovery ecosystem that is accessible and compliant for internal users, supporting their analytics and operational needs.