AppFolio is a leading provider of cloud business management solutions for the real estate industry. Our solutions enable our customers to digitally transform their businesses, address critical business operations and deliver a better customer experience. For more information about AppFolio, visit www.appfolioinc.com.

We're looking for a Senior Data Analyst with a strong background in data modeling, data visualization, reporting, and analysis skills to improve the scale and efficiency of our Client Services operations.

Your impact

Develop reports, dashboards, and data visualizations

• Work with stakeholders in Client Services to establish, monitor, and drive KPIs around cost and time reduction
• Analyze historical data on support cases, response times, customer satisfaction, and operational costs
• Identify trends and insights to optimize operations

Develop and maintain robust analytics infrastructure

• Design and implement ETL/ELT pipelines to integrate data from various sources
• Ensure data quality through testing, monitoring, and alerts
• Design and enhance data models for analytics use cases and self-service reporting
• Document data sources, calculations, and assumptions for transparency
• Identify data quality issues and implement data governance standards
• Ensure data enablement is in place for BPO, as necessary

Support DS and CS Ops leadership in evolving operations towards an enterprise-state

• Effectively prioritize and perform against stakeholder requests to maximize operational KPIs
• Closely collaborate with the Senior Data Scientist on data preparation and architecture for machine learning models
• Integrate insights from various machine learning models into reports and visualizations
• Act as a liaison between technical and non-technical stakeholders

Qualifications

• Business acumen – understands key challenges facing our business and partners with key stakeholders to find creative ways to apply data analytics to solve them; connects dots between data & business outcomes
• Technical skills – Create and maintain data models, tables, and dashboards needed to manage and scale our Client Service teams
• Attention to detail – Proactively checks all work for errors and does not let important details slip when it comes to data and its accuracy
• Creative problem solving - able to use creativity and curiosity as tools to pick apart any problem, producing a solution which is relevant and realistic
• Efficiency – able to quickly iterate on data generation and refinement. Look for ways to improve processes to maximize efficiency and remove redundancy
• Curiosity - always striving to learn more, keeping up to date with the latest tools and techniques being applied in the industry.

Must have

• Bachelor’s Degree in a STEM field and a minimum 4-6 years experience
• Advanced SQL + analytics engineering experience
• Strong grasp of statistical and analytical techniques to uncover patterns and trends in data - demonstrating the ability to pair methodology with problem space
• Strong mathematics, statistics, analytical, and problem-solving skills
• Experience using cloud-based databases/technologies and working in collaborative environments with version control
• Listening and interpersonal skills; ability to support, work, and communicate with cross-functional partners in both technical and business terms
• Highly self-motivated and directed
• Ability to effectively prioritize and execute tasks in a high-pressure environment

Nice to Have

• Experience in the Client/Customer Services domain
• Experience scaling/automating business processes
• Experience using DBT (Data Build Tool)