TL;DR
Senior Data Analyst (Product Analytics): Analyze and evaluate product performance in the online real estate sector with an accent on advanced statistical modeling, machine learning, and A/B testing. Focus on designing impactful analyses, forecasting opportunities, and collaborating strategically with product teams to enhance data infrastructure and drive informed decisions.
Location: Remote work opportunity
Company
Partnering with a leading online real estate organization dedicated to improving the home buying and selling experience through data-driven insights.
What you will do
- Serve as the main contact for stakeholders to assess product performance and extract actionable insights.
- Apply advanced analytical techniques including statistical modeling and machine learning to evaluate product impact.
- Conduct forecasting and opportunity sizing to guide product strategy decisions.
- Collaborate closely with product and data teams to improve data infrastructure and visualization tools.
- Monitor visitor engagement and conversion metrics, developing new performance indicators as needed.
- Share best practices across analytics teams to enhance methodologies.
Requirements
- Bachelor's degree in Business Analytics, Mathematics, or Economics.
- 2-5+ years of relevant data analysis experience with a focus on business questions.
- Proficiency in SQL; familiarity with Python or R is a plus.
- Experience with digital analytics tools such as Adobe Analytics or Google Analytics preferred.
- Knowledge of data visualization tools like Tableau, Shiny, or Streamlit.
- Experience with cloud data platforms, especially AWS and Snowflake.
- Strong Excel or Google Sheets skills including pivot tables and vlookup.
- Understanding of statistical concepts related to experimentation and analysis.
- Excellent communication skills and ability to present to diverse audiences.
- Ability to thrive in a remote, fast-paced work environment.
Culture & Benefits
- Attractive salary with performance bonuses.
- Flexible work hours and remote work options.
- Comprehensive health and wellness programs.
- Commitment to professional development and continuous learning.
- Supportive and collaborative culture encouraging innovation.
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