![Building A Digital PR Strategy: 10 Essential Steps for Beginners [With Examples]](https://buzzsumo.com/wp-content/uploads/2023/09/Building-A-Digital-PR-Strategy-10-Essential-Steps-for-Beginners-With-Examples-bblog-masthead.jpg)
![How One Brand Solved the Marketing Attribution Puzzle [Video]](https://contentmarketinginstitute.com/wp-content/uploads/2025/03/marketing-attribution-model-600x338.png?#)
![How to Use GA4 to Track Social Media Traffic: 6 Questions, Answers and Insights [VIDEO]](https://www.orbitmedia.com/wp-content/uploads/2023/06/ab-testing.png)
![[Hybrid] Graphic Designer in Malaysia](https://a5.behance.net/920d3ca46151f30e69b60159b53d15e34fb20338/img/site/generic-share.png)
![[HYBRID] ?? Graphic Designer](https://a5.behance.net/cbf14bc4db9a71317196ed0ed346987c1adde3bb/img/site/generic-share.png)
Senior Analytics Product Manager
A company is looking for a Senior Analytics Product Manager. Key Responsibilities Collaborate with sales, solution engineering, and product teams to define and prioritize analytics use cases and insights Build dashboards, visualizations, and reports to address customer needs and demonstrate the value of insights Work with diverse real estate datasets to deliver impactful insights and create reusable analytics use cases Required Qualifications Bachelor's Degree or equivalent experience 5 years of relevant experience managing or building data analytics products Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, or Superset) Enthusiasm for working with real estate datasets and analytics tools Ability to learn quickly and handle multiple projects in a fast-paced environment
A company is looking for a Senior Analytics Product Manager.
Key Responsibilities
Collaborate with sales, solution engineering, and product teams to define and prioritize analytics use cases and insights
Build dashboards, visualizations, and reports to address customer needs and demonstrate the value of insights
Work with diverse real estate datasets to deliver impactful insights and create reusable analytics use cases
Required Qualifications
Bachelor's Degree or equivalent experience
5 years of relevant experience managing or building data analytics products
Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, or Superset)
Enthusiasm for working with real estate datasets and analytics tools
Ability to learn quickly and handle multiple projects in a fast-paced environment