Data Analyst (Senior/Lead) Id27457

What you will doDesign A/B experiments to evaluate the impact of changes we make to the product using statistical methodologies; Use expert level SQL, Python, and R programming to develop data pipelines, write complex queries, and perform deep dive data analysis; Break down nuanced, complex data for partners, keeping context at the forefront of communication; Develop and automate reports in Tableau, iteratively build and prototype dashboards to provide insights at scale, solving for business priorities; Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations; Define and monitor key KPIs; investigate changes in metrics and propose next steps; Contribute to our team and company data culture through accessible database design and maintenance.Must havesMinimum of 3-5 years experience in the following:SQL; Python; BI tools (Tableau); Analytics tools (Google Analytics & Mixpanel); Snowflake; DBT; Deep understanding of relational databases and data warehousing; Working knowledge of Airflow, Nomad, and other deployment tools; Git PR workflows; Lean heavier ondata science skills - preferable to have a mix of SQL/data science rather than just SQL; Working knowledge of various machine learning techniques and 1-2 years experience in building and deploying ML/AI solutions; Upper-intermediate English level.Nice to havesKnowing R programming is a bonus; Startup & PropTech/Real Estate industry experience preferred but not required.#J-18808-Ljbffr