Remote Data Analyst

Summary

The job description is for a Data Analyst position at PadSplit. The role involves gathering data from various sources, developing interactive dashboards, analyzing customer data, building predictive models, designing A/B tests, collaborating with cross-functional teams, communicating findings, and identifying efficiencies in business processes.

Requirements

• Strong Analytical Skills
• Technical Proficiency (Expertise in using tools like Excel and programming languages like SQL and Python for data manipulation and analysis)
• Data Visualization (Skill in creating impactful visualizations using tools like Tableau or Power BI to effectively communicate findings to stakeholders)
• Domain Knowledge (Understanding of the real estate industry or business context to provide relevant and actionable insights)
• Attention to Detail
• Effective Communication (Proficiency in translating complex data into clear, concise insights for both technical and non-technical audiences)
• Critical Thinking (The ability to ask the right questions and think critically about data to uncover underlying patterns and trends)
• Adaptability and Continuous Learning (Willingness to adapt to new tools, technologies, and methodologies while staying updated on industry trends)

Responsibilities

• Gather data from various sources, including databases, CRM systems, and third-party real estate platforms, and clean it for analysis
• Develop and maintain interactive dashboards and reports for key stakeholders to visualize data insights
• Analyze customer data to understand buying and selling patterns, preferences, and engagement levels
• Build predictive models to forecast hosts and members growth
• Design and analyze A/B tests to optimize product features and marketing strategies
• Work closely with product managers, developers, marketing teams, and sales to align data insights with business goals
• Communicate findings and insights to a wide range of stakeholders, from operational teams to C-level executives
• Identify room for efficiencies in our business processes, data collection practices and data products. Collaborate with other teams in ideation, execution and feedback loops