AppFolio
is hiring
Lead Data Analyst
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
A Lead Data Analyst to manage a team of data analysts & scientists who support AppFolio’s major business lines: FolioGuard, Payments, and Screening (together nicknamed “GPS”). This person should position the GPS businesses to be data-driven across product, pricing, forecasting, and decision-making. They will provide supporting insights via experimentation, opportunity identification, exploratory analyses, and KPI visibility.
Your impact
Manage and develop key growth-focused data talent
- Ensure optimized prioritization and processes for your team and provide clear, consistent guidance on prioritization
- Ensure subject mastery across the staff by investing in the team
- Support individual growth in both soft skills and technical expertise
Coach data analysts & scientists to deeply understand the business they support, enabling them to become trusted advisors
Act as a strategic partner to GPS Product Leaders
- Build trusting relationships with other leaders and become a key consult in business decision-making
- Partner with the Director of Data Science & Analytics and Lead Data Scientist to shape a cohesive and holistic data strategy for GPS
- Become a subject matter expert in the business and product details of GPS
Deliver insights, analyses, and reports
- Facilitate the creation of reports, dashboards, and interactive tools that provide accurate, actionable data for product leaders to run their businesses.
- Identify opportunities for profitable growth through product experimentation, cost optimization, and understanding customer behavior
Requirements
Qualifications
- Advanced Business Acumen: Has a deep understanding of how businesses work and is knowledgeable in SaaS vertical practices, trends, and technology. Applies the right financial, customer, and product metrics to measure business performance
- Cross-Functional Knowledge: Navigates across verticals and functions and understands how each department contributes to our mission
- Coaching / Ability to develop people: Coaches people in their current roles to improve performance and prepares them for future growth, proactively instilling perspective when necessary to ensure employee engagement
- Data Analytics skills – Adept at cleaning, transforming, and shaping data
- Communication / Executive Presence: Has authentic communication skills including transparency and clarity in both formal and informal settings. Applies exceptional presentation skills to distill complex information into simple concepts & compelling stories
- Priority Setting/Prioritization: Can quickly sense what will help or hinder accomplishing a goal. Grounds prioritization in ROI of business outcomes
Must-Haves
- Strong mathematics, statistics, analytical and problem-solving skills
- 2+ years in a lead or management role with responsibility for a team
- 3+ years of work experience in a Data team
- 1+ years of SaaS/Ecomm relevant experience
- Data Visualization: Tableau preferred, (Looker, PowerBI)
- Data Transformation: SQL - Snowflake preferred, (Redshift, BigQuery)
Nice to have
(These are supplemental - a passion and interest in learning these skills still make a great candidate!)
- Experience with DBT
- Proficient in Python - for data transformation, data visualization and/or automation
- Experience creating and presenting financial forecasts to finance & product leaders
- Working knowledge of Salesforce
Experience in one or any of the following:
- DTC digital products
- Insurance industry
- Payments industry
- Screening industry
- B2B SaaS
What we offer
The base salary/hourly wage that we reasonably expect to pay for this role is: $108,000-$162,000
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.
Regular full-time employees are eligible for benefits including but not limited to:
- Paid Time Off (PTO)
- Medical, dental, and vision benefits
- Long-term and short-term disability insurance
- 401(k)
- Wellness benefits