Senior Data Analyst-Growth

Jenni Kayne is a California-based lifestyle brand that aims to empower an elevated approach to everyday living. Whether it's our edited style ethos or coveted interiors sensibility, we work hard to create a world that's inviting and intentional. From our stores across the country to our operations and corporate teams, we believe in the power of a workplace that's built on diversity and inclusion—where the varied voices and viewpoints of our community pave the way.

About This Role:

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
  
  

Additional Notes:

This job description is not all inclusive. In addition, Kayne, LLC DBA Jenni Kayne reserves the right to amend this job description at any time. Kayne, LLC DBA Jenni Kayne is committed to a diverse and inclusive work environment.

The annual base salary range for this position is $120,000 - $165,000. The base salary is determined by experience, education, skills, and location.

Location: Los Angeles, CA, US

Posted Date: 11/25/2023