Manager, Ecommerce Analytics
HQ Port Washington, NY, United States
Full Time Mid-level / Intermediate USD 69K - 137K
Kiss Products, Inc.
Bring the salon home with KISS. KISS is the world's leading supplier of lashes, artificial nails, press on nails, textured hair care products, and professional hair straighteners and tools.The ideal candidate combines a strong background in analytics, statistical modeling, and data visualization with a commercial mindset and fluency in online consumer behavior. You’ll serve as a cross-functional connector, translating data into action across marketing, product, sales, and digital strategy teams.Job Description:
Key Responsibilities:
- Develop and implement analytics strategies to uncover performance trends, identify growth opportunities, and drive actionable insights for eCommerce success.
- Conduct advanced statistical analysis, predictive modeling, and segmentation to optimize digital shelf performance and customer engagement.
- Collaborate closely with teams across DTC, brand marketing, sales, and product development to align data efforts with business goals.
- Build and maintain dashboards, reports, and presentations that clearly communicate complex data findings to both technical and business stakeholders.
- Partner with internal sales leads, retailers, and third-party data providers to gather relevant insights and expand data capabilities.
- Ensure data accuracy, integrity, and compliance with company policies and data privacy regulations.
- Contribute to the evaluation and rollout of new eCommerce platforms, analytics tools, and technologies.
- Foster a data-driven culture across the organization, promoting curiosity, collaboration, and continuous improvement.
Qualifications:
- Bachelor’s degree in Business, Economics, Statistics, Mathematics, or a related field; MBA preferred.
- 5+ years of hands-on experience in eCommerce analytics, business intelligence, or data science roles, with a focus on CPG or retail (beauty industry strongly preferred).
- Proficient in Excel and PowerPoint, with advanced experience using statistical tools such as Python, R, or SAS.
- Strong command of data visualization platforms (e.g., Tableau, Power BI, Looker).
- Deep understanding of Shopify, Google Analytics (preferably GA4), and digital performance metrics.
- Proven ability to translate raw data into strategic recommendations and business impact.
- Exceptional problem-solving and critical-thinking skills with attention to detail.
- Strong communication and storytelling ability—able to distill technical insights into clear business language.
- Experience working in fast-paced environments, managing multiple priorities and stakeholders.
- Passionate about consumer behavior, digital commerce, and using data to drive innovation.
(*Eligibility may vary.)
401(k) Savings Plan
Premium Medical Insurance Coverage
Year-end Bonus Plan
Paid Time Off (PTO) based on seniority
Paid Holidays
Onsite Employee Fitness Center with Indoor Racquetball Court and Yoga Room
Summer Friday
Complimentary Gourmet Breakfast, Lunch, and Dinner
Relocation Support for New Hires*
Work Anniversary Recognitions
Congratulatory & Condolence Gifts
Employee Referral Bonus Program
License/Certification Reimbursements*
Corporate Employee Discounts
Visa Sponsorships (100% paid by the company) i.e., New H-1B, H-1B Transfer, O-1, and Green Card
Commuter Support (Shuttle Bus Program)*
Vehicle Perks*
Education(s):
Bachelor of Science (B.S): StatisticsWork Experience:
Experience Range IV: 8 - 13 years of relevant experience or industry exposure in a related fieldSkill(s):
Language(s):
EnglishCertification(s):
Not ApplicableThe anticipated compensation range is
69,000.00 - 137,000.00 USD AnnualActual compensation will be determined based on various factors including qualifications, education, experience, and location. The pay range is subject to change at any time dependent on a variety of internal and external factors.
Kiss Nail Products, Inc., KDC GA Corp., Ivy Enterprises, Inc., AST Systems, LLC, Red Beauty, Inc., or Dae Do, Inc. (collectively, the “Company”) is an equal opportunity employer and is committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law.
Tags: Business Intelligence Data visualization E-commerce Economics Excel Looker Mathematics Power BI Predictive modeling Privacy Python R SAS Statistical modeling Statistics Tableau
Perks/benefits: Competitive pay Fitness / gym Health care Insurance Relocation support Salary bonus Yoga
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