Offer summary

Qualifications:

4-5 years of experience as a Product, Business, or Data Analyst., Strong skills in SQL and Python for data analysis., Excellent problem-solving and attention to detail., Proactive, independent, and fluent in English..

Key responsibilities:

Establish and track product and company KPIs.

Analyze large data sets to support growth and product improvements.

Create dashboards and alerts for internal teams.

Support feature prioritization and contribute to product roadmap development.

Job description

Description

Who are we?

Zencity is re-inventing the way governments hear from, understand, and engage with their residents. Our community input & insights platform and community survey solution use advanced NLP and ML algorithms to help government organizations make data-driven decisions. With a global team of urban enthusiasts and data experts, we partner with over 300 cities worldwide—from Los Angeles to New York to Tel Aviv—helping them create more responsive and informed policies. If you’re passionate about leveraging data and technology to solve real-world challenges and improve life in cities and counties, we’d love to have you on board!

What is the role:

As a Product Analyst at Zencity, you will lead data-driven decisions in the product team and company wide. Among your responsibilities, you will define and track product KPIs as well as initiate ad hoc research projects to drive Zencity platform adoption among our 220+ customers. You’ll work closely with the entire product team on every new feature, throughout the product life cycle, from planning to post launch usage tracking and improvements cycle. You will play a key role in the roadmap-building process, and will lead initiatives that will optimize the value that Zencity users are getting from Zencity platform and services.

Responsibilities:

The product analyst at Zencity is the data-driven ambassador for the product team and the entire organization. As a product analyst, your core responsibilities will be:

Establishing product KPIs and company-wide KPIs to ensure the expected impact and targets are met
Exploring and analyzing large data sets and extract valuable insights to support growth and product improvements
Providing supporting data for prioritizing new features and initiatives
Creating dashboards and alerts for internal teams to enable easy analysis for the entire company