PadSplit is hiring for a Data Analyst to enhance data-driven decision making and gain deeper insights into market trends, customer behavior, and operational efficiency. This position will support scalable analytics solutions, improve predictive modeling, and identify opportunities for growth on both sides of the marketplace, ultimately contributing to competitive advantage and informed strategic planning.

The Person We Are Looking For:

We need someone who is proactive and detail-oriented that thrives in a fast-paced, dynamic environment. The ideal candidate is a self-starter with strong analytical skills and the ability to transform complex datasets into actionable insights that drive strategic business decisions. The right candidate will be comfortable with independent work and have excellent communication skills to collaborate with cross-functional teams.

Here’s What You’ll Do Day-To-Day:

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.

Here’s What You’ll Need to Be Successful:

Strong Analytical Skills: The ability to interpret and analyze complex datasets to extract actionable insights that inform decision-making.
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: A meticulous approach to ensure data accuracy and integrity, minimizing errors in analysis and reporting.
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.

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