BILL (NYSE: BILL) is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can thrive. Hundreds of thousands of businesses trust BILL solutions to manage financial workflows, including payables, receivables, and spend and expense management. With BILL, businesses are connected to a network of millions of members, so they can pay or get paid faster. Through our automated solutions, we help SMBs simplify and control their finances, so they can confidently manage their businesses, and succeed on their terms. BILL is a trusted partner of leading U.S. financial institutions, accounting firms, and accounting software providers. BILL is headquartered in San Jose, California. For more information, visit bill.com.

This position requires being local to San Jose, CA. We support a hybrid work environment with on-site and remote work days. Look no further than BILL.

Make Your Impact Within a Rapidly Growing Fintech Company

Our Product Analytics and Data Science team is growing! We’re looking for a proven analyst to join us and contribute to shaping the future direction of the company. Part of this role is tactical; you’ll be responsible for finding data, putting it into a reportable format, and interpreting it for product teams. The other part is strategic: you’ll be a thought partner in measuring our product performance and identifying opportunities to improve it. You’ll work closely with product teams, but will also interact with other stakeholders from time to time.

List Of Responsibilities/Duties

• Forecast product usage based on historical data and customer segmentation. Collaborate with our Macroeconomics team to integrate macro trends into the forecasts.
• Collaborate with product teams to identify key performance indicators (KPIs) and build metrics that measure the impact of new products on customers.
• Develop interactive dashboards that enable teams to analyze data and gain insights into customer behavior, product performance, and business trends.
• Promote a culture of experimentation and A/B testing to drive innovation and optimize product performance.
• Enhance understanding of the customer lifecycle by conducting analyses and providing insights to help finance and research teams identify growth opportunities.
• Serve as a strategic partner to product leadership, providing data-driven recommendations and helping to prioritize initiatives that drive outcomes rather than just outputs.
• Collaborate cross-functionally, with marketing, sales, customer support, and engineering, to ensure that data is being used effectively to drive business outcomes.
• Work closely with Data Warehousing and BI engineering teams to enhance our data pipelines.

We’d Love To Chat If You Have

• Curiosity about data and the ability to think clearly and logically about data.
• 6 years of experience in a Data Analyst or Scientist role, with a demonstrated track record of using data to drive business impact.
• PhD, Master's or Bachelor's degree in a quantitative field, such as Statistics, Data Analytics, Data Science, Mathematics, or Computer Science.
• Experience in data analytics for finance.
• Strong domain expertise and experience in time series analysis and forecasting.
• Strong proficiency in SQL and experience working with large data sets.
• Experience with data visualization tools, such as Tableau or PowerBI, to create compelling and insightful dashboards.
• Excellent communication skills.
• Experience working with cross-functional teams, including Product, Engineering, and/or Design teams, and making technical decisions related to A/B testing, project prioritization, development, and monitoring.
• Experience translating technical results and insights into clear and compelling narratives for both technical and non-technical stakeholders, as well as experience serving as a thought partner with senior leadership to influence product and business decisions. You know how to tell stories with data, and you know how to get to the real question that a customer is trying to ask.
• Familiarity with working with Python or R in a cloud-based environment. Knowledge and experience with Machine Learning and regression methods are also very helpful.
• Data modeling experience (dbt), including the ability to design data sets to help accelerate analytics work is a big plus.
• A business degree in addition to your technical degree. MBA is a huge plus.