Jenni Kayne is a known tastemaker and authority on style, spanning the worlds of fashion, interiors, and entertaining. Inspired by organic textures, thoughtful simplicity, and natural landscapes, Jenni Kayne has quickly become an all-encompassing lifestyle brand rooted in modern California minimalism.

Based in Los Angeles, California, our timeless designs transcend both age and seasons with a signature sense of laid-back luxury. We believe in simplicity, consistency and building a uniform with the pieces you can wear again and again, season after season.

From sophisticated wardrobe essentials to all the things that make a house a home, the Jenni Kayne aesthetic is timeless and quietly elegant. Collections are defined by warm, inviting neutrals and a special attention to detail. Jenni Kayne proves that women can attainably bring beauty into their every day.

Our lifestyle blog Rip & Tan is your resource for inspiring content, with features on style, wellness, entertaining, and more. By profiling real women who appreciate special details and thoughtful living, we aim to celebrate and empower women to live their best lives, every day.

Jenni Kayne operates nine retail stores in California, NYC and Seattle as well as an e-commerce website.

Jenni Kayne is looking for a Sr. Data Analyst with strong data curiosity, who can thrive in a fast-paced environment. The ideal candidate enjoys the challenge of solving highly complex business problems and, above all, is passionate about driving outcomes with data and analytics.

Role and Responsibilities:

As the Senior Data Analyst- Growth, your primary responsibilities include the following:

• Partner with the Marketing & Growth Team to evaluate the impact and ROI on key initiatives, A/B tests, and provide actionable insights to drive incremental customer LTV.
• Build data sets for exploration, as needed by stitching disparate data sources for deep data exploration that uncovers the 'Why' in addition to the 'What.'
• Leverage Python/R and other tools to run complex data analysis, statistical confidence for A/B Tests, and predictive and classification models.
• Build automated and scalable solutions for self-service analytics.
• Drive the growth analytics (customer and product analytics) agenda by stitching the full Omni customer journey across different JK brands (Home, Apparel and Oak Essentials) and Retail stores.
• Partner with growth and ecommerce team on pricing and promotion insights and recommendation.
• Provide actionable insights on product recommendation for different cohorts/customer segments based on purchase lifecycle.
• Partner with cross functional team on customer life cycle campaigns (onboarding, repeat purchase, retention) on different channels, email and mobile measurement and performance and evaluate A/B Tests.
• Identify macro and micro business trends, correlations to proactively identify causal impact on key metrics

Qualifications:

• Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics
• 5+ years of experience in Data Analytics in a fast-paced environment
• Strong SQL skills, with aptitude for learning other analytics tools.
• Preferred: 3+ years of experience in Phython / R
• Advance analytics techniques (regression, classification etc.)
• Prior experience in eCommerce, DTC brands
• Masters in business Analytics

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer
• Must be able to move and lift heavy objects (15 pounds or more) from time to time as required