We believe in the power of growing your own food and reconnecting with nature. That’s why we’re on a simple, but ambitious mission: to teach the world to grow. We’re reviving the lost tradition of food and ornamental gardening, empowering people of all ages and skill levels to succeed in this deeply satisfying pastime. Join us and be part of building the world's most gardener-obsessed company.

ABOUT THE COMPANY

Founded in 2013, Epic has become the most followed gardening brand and is the leading creator-led, content-to-commerce business in gardening. Millions of enthusiastic gardeners come to Epic for entertaining and informative growing content across video, blogs, podcasts, social platforms, and books. Through our online store, we offer highly curated, best-in-class gardening products designed to perform well for the gardener and stand the test of time. In December 2021, Epic closed a round of financing from The Chernin Group (TCG).  In November 2022, Epic Gardening completed the acquisition of Botanical Interests, a vegetable, herb, and flower packet seed company founded in 1995 and based in Broomfield, CO. The acquisition dramatically expands Epic's product offering and go-to-market channels with the addition of 800+ SKUs and a nationwide wholesale distribution channel. Today, we are a team of over 85 employees and contractors across the world.

EEO STATEMENT

At Epic Gardening, we are committed to cultivating a workplace that reflects the rich diversity of the world we strive to grow in. We believe that gardening connects people of all backgrounds and that our collective differences make us stronger. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are dedicated to fostering an inclusive environment where everyone can thrive and contribute to growing a more sustainable and connected world.

Position Overview:

The Business Intelligence Analyst will transform raw data into actionable insights, supporting strategic business decisions across retail operations. Initial projects include dashboarding e-commerce trends, analyzing customer behavior, site traffic, and shipping costs to understand profitability by product line.

Key Responsibilities:

• Data Analysis and Interpretation: Analyze data to identify trends, patterns, and correlations, translating findings into actionable insights.
• Reporting and Visualization: Develop and maintain dashboards and reports to communicate KPIs to stakeholders.
• Forecasting and Predictive Modeling: Create forecasting models for inventory management, sales projections, and strategic planning.
• Cross-Functional Collaboration: Proactively reach out to Marketing, Finance, and Operations to support business objectives with data-driven. recommendations.
• Data Quality Assurance: Ensure data accuracy and address inconsistencies and anomalies.
• Autonomous Operation: Work independently with little oversight, demonstrating a proactive approach to understanding and meeting data needs across departments.
• Central Data Repository Creation: Manage large datasets and integrate data from various sources into a cohesive data repository.

Qualifications:

• At least 5 years of relevant experience.
• Bachelor’s degree in Business, Statistics, Computer Science, or a related field.
• Proven experience in business intelligence, data analysis, or a related role within the retail industry.
• Proficiency in data visualization tools (e.g., Tableau, Power BI) and strong SQL skills.
• Experience with systems such as NetSuite, Shopify, and Google Analytics preferred.
• Solid understanding of statistical analysis, forecasting, and predictive modeling.
• Excellent communication skills for conveying complex findings to non-technical stakeholders.
• Detail-oriented with a commitment to data accuracy and reliability.
• Strong grasp of general business topics such as gross margin, customer behavior trends, and average shipping load value.
• Ability to analyze and interpret data, and present recommended business decisions to stakeholders.

Nice-to-Haves:

• Experience with ShipStation and FedEx systems.
• Knowledge of predictive modeling and statistical analysis.