At Journee Collection, we are dedicated to making the search for the perfect shoe effortless, empowering and celebrating women at every step. At the heart of our mission is the creation of footwear that seamlessly blends style and fit, honoring each moment and milestone. We're looking for individuals to join us in this commitment, to design not just shoes, but symbols of support and celebration for every step a woman takes.
Join us as we redefine what it means to find the perfect shoe.
TAFT, another KNS Brand, was born from a shared passion for unique design and exceptional craftsmanship, a brand that combines intentional design and a discerning eye to create footwear that stands out. Our ethos, "Boots & Shoes for the Bold," speaks to our core belief in bold vulnerability-the courage to show one's true self, in all its unique glory, to inspire collective boldness. We're searching for individuals who resonate with our mission to make the world a bolder, more authentic place. By joining TAFT, you'll be part of a team dedicated not just to crafting and delivering boots and shoes, but to celebrating the individuality that makes each of us distinct. Help us continue to create products that aren't just worn, but that tell a story of boldness, creativity, and the joy of being unapologetically oneself.
Job Summary:
The Ecommerce Senior Data Analyst will play a critical role in driving data-driven decision-making across our ecommerce platforms. This individual will be responsible for analyzing data from various sources, providing actionable insights, and helping optimize the online customer journey. The ideal candidate is highly analytical, detail-oriented, and passionate about leveraging data to improve the e-commerce experience.
Key Responsibilities:
Data Analysis: Analyze and interpret data from multiple sources, including website analytics, sales data, and customer behavior, to uncover trends and insights
Visualization: Working knowledge of data visualization techniques (i.e. Power BI, Tableau), working SQL knowledge and expert ability at leveraging data visualization tools to provide insights.
Performance Reporting: Develop and maintain regular reports and dashboards to track e-commerce performance, key metrics, and KPIs (e.g., conversion rate, customer acquisition cost, lifetime value).
Customer Journey Optimization: Collaborate with the e-commerce and marketing teams to identify areas for improvement in the customer journey, including DTC journey and dropship journey. Advanced understanding of the drivers of e-commerce business, especially experienced in measuring and optimizing merchandising tactics (such as, product variants, product bundling etc.), customized offers (such as, product promotions, free expedited shipping etc.) and traffic channel mix to continually improve site performance.
Data Management: Develop data models, design integrations, and create reports for executive leadership and operational decisions. Ensure data accuracy and integrity by working closely with IT and other departments to manage data collection, storage, and processing.
Market Research: Conduct competitive analysis and market research to identify new opportunities and trends in the ecommerce space.
Collaboration: Work cross-functionally with teams such as marketing, product development, and operations to ensure data-driven decision-making across the organization.
Ad Hoc Analysis: Provide data-driven support for special projects and initiatives as needed.
Data Collection and Analysis: Gather data on consumer demographics, preferences, needs, and buying habits across DTC and dropship channels. Analyze data using statistical tools and software to identify trends and insights.
Campaign Performance: Evaluate the effectiveness of marketing campaigns and strategies. Provide recommendations for optimizing marketing efforts based on performance data.
Reporting: Prepare and present reports to marketing teams and senior management. Use data visualization tools to communicate findings clearly.
Customer Insights: Develop customer profiles and segments to better target marketing efforts. Analyze customer feedback and satisfaction data.
Qualifications:
Education: Bachelor's degree in Data Science, Statistics, Business, Marketing, or a related field.
Experience: 2-5 years of experience in a data analysis role, preferably within an ecommerce or retail environment.
Technical Skills: Proficiency in data analysis tools and software, specifically Microsoft SQL Server, and Microsoft PowerBI
Analytical Mindset: Strong problem-solving skills and the ability to analyze complex data sets to derive actionable insights. Ability to comprehensively understand relevant industries, consumer mindsets, and seasonal trends.
Communication: Excellent verbal and written communication skills with the ability to present data insights clearly to both technical and non-technical stakeholders.
Preferred Qualifications:
Experience with ecommerce platforms (e.g., Shopify), 1st Party, & 3rd data providers
Familiarity with digital marketing channels (SEM, SEO, Retention, Paid, Programmatic).
Experience with Microsoft SQL Server and Power BI
Benefits
Get ready to experience a unique work environment where talent is rewarded, and the sky is the limit! Here at KNS International, you will discover a culture of creative and business-minded individuals who come together to create a high-functioning work environment that prides itself on providing an optimal work/life balance and abundant opportunity for growth.
Medical, Dental, and Vision
Short-Term & Long-Term Disability
Maternity & Parental Leave
Competitive salary and bonus plans
Generous 401k package with employer matching
Impact Suites - Mental Health Help
Paid Time Off
Paid Holidays
Gym membership
Monthly Massages
Discounted employee purchase program
Work-life balance and flexibility
Fully stocked kitchen with snacks and drinks
Recreation areas for breaks and lunches
Dog friendly
KNS Swag
Location: Draper, UT - Candidates must be willing to relocate if not currently local.
Work Schedule: Hybrid position requiring in-office work on Tuesdays, Wednesdays, and Thursdays.