Sr. BI Analyst (Remote-First)

Perks & Benefits

• Remote-First Workplace
• Flexible Fridays
• Diversity, Equity & Inclusion Council
• Monthly Remote Stipend
• Professional Development Stipend (up to $500 annually)
• 1 Wellness/Mental Health Paid Day Off
• 1 Volunteer Paid Day Off
• Health Benefits (Medical, Dental, Vision)
• HDHP with HSA plan (annual employer contribution to HSA)
• Employer-Paid Basic Life Insurance and AD&D
• Employer-Paid Short- and Long-term Disability
• Employer-Paid Wellness Reward Program
• Employer-Paid Mental Health Benefit
• Employer-Paid Employee Assistance Program
• Employer-Paid Out of State Medical Travel Benefit
• 401(k) Safe-Harbor Matching
• Ancillary Benefits (pet insurance, legal coverage, identity theft protection, accident, hospital, and critical illness coverages)
• Paid Time Off (increases with tenure)
• Paid Parental, Adoption, and Foster Leave
• Out of State Medical Travel Benefit

About the Role

We are seeking an accomplished leader to join our emerging analytics and decision science team supporting strategic business growth and optimization initiatives at the company.

This Role is critical to our overall data infrastructure, data integrity and data governance. You will be instrumental in architecting, managing and orchestrating EWC's enterprise data initiatives. The right person for this role has exceptional data engineering abilities, an ability to think through complex data and logic issues and a demonstrated ability to solve technical challenges. This position will partner closely with IT, marketing, operations, and FP&A partners to ensure we can address the data needs of the business.

A Day in the Life

• Transform raw data into meaningful and impactful analysis characterized by strong data governance, data integrity, technique transparency, and excellent synthesis of recommendations.
• Develop queries and visualizations for ad-hoc requests and projects, primarily supporting the business vertical, with the ability to flex into retail, and ecommerce as needed.
• Partner with the business and other team members to deeply understand the performance of products (evergreen and new innovations) level across channels, developing dashboards/reports to track trends and drive constant improvement in product mix and product development.
• Design and develop meaningful analytics and executive reporting around customer journey and cross-channel.
• Analyze data to deepen understanding of key retention drivers and inhibitors.
• Perform ongoing cohort analyses with the goal of informing customer acquisition and retention strategy and maximizing customer lifetime value.
• Partner with data engineering and a team of analysts, raising the skill level of the entire Data & Analytics team through exemplary work, creative problem solving, and the introduction of better practices, processes, and tools.
• Create processes and replicable systems to generate on-demand reports from internal and external data sources for key leaders in Growth Marketing, Product Management, and Retail Operations.
• Find meaningful trends in data sets, perform cohort analysis, and develop algorithms to help translate raw data into actionable recommendations to the organization.

What Sets You Apart

• Humble, curious, and collaborative define your personality.
• You enjoy having a strategic impact at an executive level while also getting your hands dirty.
• You are passionate about agile software processes, data-driven development, reliability, and responsible experimentation.
• You understand the value of collaboration within teams.
• Experience with data exploration tools (Looker/Tableau, Google Data Studio/PowerBi, TopCoat.)
• Experience with R or Python.
• Ability to investigate data to explain anomalies, troubleshoot issues and partner with the finance team as needed.
• An understanding of cohort analysis and customer segmentation methodology and best practice.
• Skilled communicator who can easily understand and translate technical concepts to both technical and non-technical audiences.
• Proven ability to produce standardized, reusable, scalable dashboards, and reports.
• Love for statistics and experience with statistical methods + fluency in experimental analysis and a/b testing.
• Strong ability to communicate insights verbally, visually and in writing and take on loosely defined problems and distill complex findings into actionable recommendations.
• You care about reproducible work and have picked up tools to this end; you can teach others how to make their own work better and more meaningful.

Education and Experience

• 2-4 years hands-on experience as a data scientist or data analyst, using SQL and working to manipulate and produce insights from large data sets.
• Bachelors in Mathematics, Economics, Computer Science, Information Management or Statistics.
• 2+ years working with visualization tools such as DOMO, PowerBI, Tableau, creating impactful dashboards.
• 2+ years of retail or service-base Franchise data analysis.
• 2-3 years financial analysis with excel or other lightweight tools.

European Wax Center is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

This job description is a general description of essential job functions. It is not intended to describe all duties someone in this position may perform. All employees of EWC and operating subsidiaries are expected to perform tasks as assigned by supervisory/management personnel, regardless of job title or routine job duties.