Position: Data Analyst

Reporting to: Director, Product Operations

Company Overview

Furnished Quarters is a privately owned, LGBTQ+ diverse company recognized as a unique player in the short-term housing industry with over 25 years of experience in alternative accommodations. As one of the largest independently owned companies, we offer diverse housing options for business and leisure travelers, setting ourselves apart from the competition. Our commitment to providing an exceptional assortment of inventory and best-in-class service ensures our guests enjoy an elevated home-away-from-home experience.

Company Culture

At Furnished Quarters, we thrive on challenges and celebrate collaboration. Our core values—challenge, Collaboration, Care, Career, and Community—represent our culture, where employees are supported in their career growth and development. We encourage a healthy work-life balance and foster an entrepreneurial environment where every voice matters. Join us and discover what it means to #StayDifferent.

Job Purpose

The Furnished Quarters’ technology team seeks a highly skilled Data Analyst with a passion for data-driven problem-solving. The successful candidate will be responsible for turning large volumes of data into actionable business insights that drive decision-making and enhance operational efficiency. This role requires expertise in data analysis, reporting, and visualization, as well as the ability to collaborate with cross-functional teams to identify business needs and implement solutions.

The ideal candidate will demonstrate a strong understanding of business processes, the ability to collect and interpret data, and experience identifying opportunities for process improvements. This strategic position is focused on analyzing data and identifying the most appropriate technology solutions—whether through BI tools, custom data platforms, or other technologies. The candidate will play a key role in providing leadership with critical insights, enabling data-driven decisions that drive growth, enhance operational efficiency, and align with overall business goals.

Essential Functions

Data Analysis & Reporting: Use advanced statistical methods, such as SQL, Python, R, or other data analysis tools, to analyze complex data sets and generate reports that are clear, accurate, and actionable for business stakeholders.
AI Modeling: Design, build, and deploy custom AI and machine learning models to solve complex business problems.
Business Process Optimization: Identify opportunities to streamline business processes and recommend data-driven improvements that enhance efficiency and reduce costs. Use data to model trends and forecast future business outcomes.
Collaboration with Management: Work with management and departmental teams to gather data requirements and prioritize analytics initiatives that address critical business objectives. Provide recommendations based on data analysis to support business growth and operational improvements.
Programming Languages: Proficient in programming languages like Python or R, with experience in machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
Data Modeling & Trend Identification: Create data models and visualizations that depict trends and patterns in customer behavior, market activity, and internal operations.
Data Collection & Maintenance: Develop and implement systems for collecting, cleaning, and maintaining data from multiple sources. Automate data validation and troubleshooting processes using Excel and other analytical tools to ensure data accuracy and integrity.
Database Management & Development: Manage and maintain databases, ensuring data is organized, accessible, and optimized for analysis. Develop efficient processes for data extraction, transformation, and loading (ETL).
Data Cleaning & Problem Resolution: Review data regularly for inconsistencies, errors, or anomalies.
Continuous Improvement: Stay current with the latest data analytics trends, tools, and methodologies. Continuously look for ways to improve data collection, analysis, and reporting processes to optimize statistical efficiency and support business objectives.
Strategic KPI Reporting & Business Insights: Design and deliver essential KPIs and performance dashboards for leadership, providing clear insights into business health and operational efficiency. Collaborate with organizational stakeholders to ensure KPIs align with business goals and provide real-time performance visibility.
Data Infrastructure & Architecture: Collaborate with software development teams to create and maintain robust data pipelines and infrastructure that ensure smooth data flow between systems. Optimize the architecture for real-time and historical data analysis.
Automation of Data Reporting & Analysis: Develop automated systems to streamline data collection, transformation, and reporting. Implement ETL (Extract, Transform, Load) processes to automate data workflows and minimize manual tasks.
Stakeholder Training & Support: Train business leaders and teams to ensure they can effectively interpret and utilize data insights for decision-making.

Required Skills & Qualifications

Bachelor’s Degree: Data Science, Statistics, Computer Science, or a related field. A Master’s degree is a plus.
Technical Expertise: Experience with SQL databases and data extraction techniques is required. Familiarity with data analysis tools like Python, Tableau, Jupyter Notebooks, JavaScript, or ETL frameworks is highly desirable.
Analytical Skills: Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with acute attention to detail and accuracy. Ability to present complex data in a simplified manner to support decision-making.
Data Modeling & Segmentation Expertise: Proven experience developing data models and segmenting data for detailed analysis. Ability to identify patterns and trends in large datasets to support business insights.
Statistical Knowledge: Understanding of statistics and experience using statistical packages (Excel, R, SPSS, or similar) for analyzing datasets. Experience with data mining and segmentation techniques is preferred.
Strong Communication Skills: Clearly and effectively communicate complex data findings to technical and non-technical stakeholders. Must be able to work cross-functionally and collaborate with various teams to address data needs and business challenges.
Experience in Data-Driven Decision-Making: Minimum of 3 years of experience in a data analyst role, with demonstrated ability to use data analysis to drive critical business decisions. Prior experience in identifying process improvement opportunities is a plus.
Expertise in Data Analytics Software: Skilled in assessing and deploying the most suitable data analysis technologies, including BI tools, data visualization platforms, and custom solutions, to facilitate strategic KPI reporting and support data-driven business decisions.
Demonstrated experience designing and implementing data infrastructure and technology solutions across various platforms: Skilled in developing data pipelines and workflows seamlessly integrating with business systems such as CRM, ERP, and other databases.

Preferred Skills & Qualifications

Leadership Potential: Experience mentoring others in data analysis techniques, particularly Excel best practices, is highly valued. Candidates should demonstrate the potential to lead data-driven initiatives that foster growth within teams. Prior experience managing such initiatives will be considered an added advantage.
Expertise in Data Tools: Strong proficiency in various data analysis and visualization tools is essential. Experience with platforms like Retool, Tableau, Power BI, or similar tools is necessary for creating meaningful dashboards and reports that drive decision-making.
Collaboration with Leadership: A demonstrated ability to work closely with executive teams to inform and shape business strategies through data-driven insights is a must. Translating complex data into actionable strategies is crucial for supporting high-level decision-making.

Physical Requirements

To perform the essential functions of this job successfully, an employee must meet the physical demands described here, with or without accommodation.

The employee must review text approximately 20 inches or less (i.e., working with small objects or reading small print), including using computers.
The employee must frequently enter text or data into a computer or machine.

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Data Analyst