Description:

PadSplit is hiring 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.
The role contributes to competitive advantage and informed strategic planning.
Daily responsibilities include gathering data from various sources, including databases, CRM systems, and third-party real estate platforms, and cleaning it for analysis.
The Data Analyst will develop and maintain interactive dashboards and reports for key stakeholders to visualize data insights.
Analyzing customer data to understand buying and selling patterns, preferences, and engagement levels is a key task.
The role involves building predictive models to forecast hosts and members growth and designing A/B tests to optimize product features and marketing strategies.
Collaboration with product managers, developers, marketing teams, and sales is essential to align data insights with business goals.
The Data Analyst will communicate findings and insights to a wide range of stakeholders, from operational teams to C-level executives.
Identifying efficiencies in business processes, data collection practices, and data products is also part of the role, along with collaborating with other teams in ideation, execution, and feedback loops.

Requirements:

Strong analytical skills are required to interpret and analyze complex datasets to extract actionable insights that inform decision-making.
Technical proficiency in using tools like Excel and programming languages such as SQL and Python for data manipulation and analysis is necessary.
The candidate must have skills in data visualization, specifically in creating impactful visualizations using tools like Tableau or Power BI to effectively communicate findings to stakeholders.
Domain knowledge of the real estate industry or business context is important to provide relevant and actionable insights.
Attention to detail is crucial to ensure data accuracy and integrity, minimizing errors in analysis and reporting.
Effective communication skills are needed to translate complex data into clear, concise insights for both technical and non-technical audiences.
Critical thinking abilities are essential to ask the right questions and think critically about data to uncover underlying patterns and trends.
Adaptability and a willingness to continuously learn new tools, technologies, and methodologies while staying updated on industry trends are required.

The position offers a contract with compensation ranging from $30,000 to $50,000 a year, based on the role's scope, national market benchmarks, and the person's expertise and experience.