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AppFolio
is hiring
Senior Data Analyst, Client Services
About Our Company
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.
Job Description & Responsibilities
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
Requirements
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)
What we offer
The base salary/hourly wage that we reasonably expect to pay for this role is: $100,000-$140,000
The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate’s skills, education, experience, etc.
Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses/commissions that you may be eligible for based on your role and/or employment type.