What you will do
1. design a/b experiments to evaluate the impact of changes we make to the product using statistical methodologies;
2. use expert level sql & python & optionally r programming to develop data pipelines, write complex queries, and perform deep dive data analysis;
3. break down nuanced, complex data for partners, keeping context at the forefront of communication;
4. develop and automate reports in tableau, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities;
5. collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations;
6. define and monitor key kpi's; investigate changes in metrics and propose next steps;
7. contribute to our team and company data culture through accessible database design and maintenance;
must haves
1. minimum of 3-5 years experience in the following:
2. sql;
3. python;
4. business intelligence tools like tableau;
5. analytics tools such as google analytics or mixpanel;
6. data platforms like snowflake and dbt;
7. strong exploratory data analysis and data visualization skills;
8. deep understanding of relational databases and data warehousing;
9. working knowledge of airflow, nomad and other deployment tools;
10. git pr workflows;
11. lean heavier on data science skills - preferable to have mix of sql/data science rather than just sql;
12. upper-intermediate english level.
nice to haves
1. startup & proptech/real estate industry experienced preferred but not required;
2. knowing r programming is a bonus;
3. working knowledge of various machine learning techniques and 1-2 years experience in building and deploying ml/ai solutions;
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