Data Scientist

at  ePayPolicy

ePayPolicy offers easier payment tools, built for insurance. ePayPolicy’s products bring insurance payments up to speed for agencies, carriers, MGAs, and PFCs, with secure online payment pages, automated check processing, and payables reconciliation. 6,500+ insurance companies trust ePayPolicy and our expert, live support team to handle their payments every day.
We’re based in Austin, TX, and have clients in all 50 US states and Canada. Founded in 2014, we have the support and backing of Serent Capital, one of the top private equity firms in the US that invests in high-growth software and services firms and manages over $2B in committed capital.

JOB DESCRIPTION

We’re looking for a Data Scientist who is obsessed with delivering world-class service to join our vibrant company that’s growing fast.

• Utilize strong SQL skills to collect and manipulate data from various company data sets.
• Perform in-depth data analysis, identifying trends and insights to drive informed decision-making.
• Develop and maintain data warehousing solutions to ensure data accuracy and availability.
• Collaborate with cross-functional teams, including third party vendors, to create and manage data warehouse projects.
• Utilize PowerBI to create data visualizations and interactive dashboards that communicate key findings, particularly for financial performance and risk management.
• Play a pivotal role in ensuring data quality and integrity within the organization.
• Collaborate with the finance and accounting teams to optimize financial processes through analysis
• Create and manage reports used to produce sales team commissions and revenue recognition.
• Assist in the automation of data-related processes by developing an in-depth understanding of source data and business requirements.
• Share your knowledge and experience by mentoring and collaborating with junior data and FP&A analysts.
• Stay up-to-date with the latest advancements in data science and machine learning techniques to drive innovation within the company.
• Communicate the results of analyses clearly and effectively to product and leadership teams, influencing the overall product strategy.