Jillian Naufal

Jillian Naufal has diverse work experience in various industries. Jillian currently works at Statflo as a Strategic Account Manager, where they manage the relationship with a major strategic account and handles partnerships with 20 financial institutions. In this role, they collaborate with multiple teams to ensure customer success. Prior to this, Jillian worked as a Customer Success Manager at Statflo, where they onboarded and trained clients, provided business reviews, and optimized platform usage.

Before joining Statflo, Jillian worked as a Sales Development Representative at Noibu, a startup focused on resolving website errors and improving digital experiences for retailers. Jillian played a vital role in the full cycle sales process in a fast-paced environment.

Jillian also has experience in the retail industry, having worked at Nordstrom. Jillian held roles such as Assistant Department Manager, Department Manager, and Assistant Stylist Director. In these positions, they demonstrated leadership skills, managed sales teams, implemented digital selling strategies, and designed merchandise displays.

Additionally, Jillian has experience working at Zumel & Co. as an Assistant Style Director, where they provided personal shopping experiences to clients and achieved sales targets. Jillian also worked at Thrive Organic Kitchen & Café as a Server, gaining skills in customer service and social media marketing. Earlier in their career, they worked at Stunning! Fashion & Accessories as a Keyholder, focusing on customer service, visual merchandising, and trend forecasting.

Jillian Naufal has a Bachelor's Degree in Bachelor of Commerce - Fashion Management, which they obtained from Humber College from 2014 to 2018. In 2022, they enrolled in Coursera and completed the Google Data Analytics Professional Certificate. Jillian also obtained several additional certifications, including "Ecommerce Fundamentals" from LinkedIn in December 2020, and four certifications from Coursera: "Foundations: Data, Data, Everywhere" in October 2022, "Ask Questions to Make Data-Driven Decisions" in November 2022, "Prepare Data for Exploration" in February 2023, and "Process Data from Dirty to Clean" in June 2023.