Offer summary

Qualifications:

Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or relevant business experience., 5+ years of experience in analytics, customer insights, or related fields within an eCommerce environment., Strong SQL skills and experience with statistical analysis and A/B testing methodologies., Excellent communication skills with the ability to explain complex concepts to both technical and non-technical stakeholders..

Key responsabilities:

Leverage SQL and analytics tools to extract, analyze, and interpret customer data for actionable insights.

Develop customer segmentation models to enhance personalized marketing and retention strategies.

Track and report on key customer metrics such as churn and retention rate.

Collaborate with the Customer Engagement team to analyze interactions and measure campaign effectiveness.

Job description

#KeepGrowing with Nutrafol

We’re a growing company. Everything we do, we do to help people grow into the best version of themselves. As the pioneers of hair wellness, we create clinically tested products for hair growth and provide support for people at every step of their hair journey.

Our multi-factorial approach targets key root causes of hair thinning using a patented blend of standardized vitamins, minerals and natural ingredients -- and is recommended by over 7,500 physicians and hair professionals for trusted, reliable results. We never settle, and are continuously challenging existing treatments and methodologies to advance the frontier of hair science. As we help our customers grow, we grow too -- by embracing individuality and differences, leading by example, and empowering ourselves and others with our passion for wellness and innovation.

Keep growing. It’s our mantra. Our commitment to helping anybody and everybody committed to realizing their own potential to grow.

About You

We are seeking a highly motivated, and experienced Manager, Marketing Analytics to join our dynamic team. The ideal candidate will have a passion for solving data problems, and assisting business stakeholders with strategy for improving customer retention. As an advanced data analyst, you will play a crucial role in supporting the customer retention team to improve decision making today to drive improved performance tomorrow.

Responsibilities

Leverage SQL and other analytics tools to extract, analyze, and interpret customer data, providing actionable insights to improve business performance.
Develop and refine customer segmentation models to drive personalized marketing, customer retention, and engagement strategies.
Track and report on key customer metrics, including churn, retention rate, and lifetime value.
Work closely with the Customer Engagement team to analyze customer interactions, measure campaign effectiveness, and refine engagement strategies.
Work with BI team to build and maintain a suite of dashboards (e.g., Tableau, Power BI, Looker) to inform decision making on the customer team.
Design rigorous A/B tests to measure the impact of marketing and product initiatives. Give recommendations
Work closely with Data Engineering to develop, test, and deploy analytics code in a scalable and production-ready framework. Ensure analytics workflows are optimized for performance and automation.
Ensure data accuracy, consistency, and adherence to best practices in data management, documentation, and reporting.

Requirements

Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or relevant business experience
5+ years of experience in analytics, customer insights, or related fields within an eCommerce environment
Strong SQL skills – ability to write and optimize complex queries, work with large datasets, and support ETL processes.
Strong business acumen with the ability to translate data into strategic recommendations.
Excellent communication skills with the ability to explain complex concepts and findings to both technical and non-technical stakeholders.
Ability to work effectively in a collaborative team environment and manage multiple priorities.
Experience with statistical analysis and A/B testing methodologies.

Preferred qualifications

Master’s level degree in Business or quantitative field
Strong proficiency in statistical analysis tools and programming languages such as Python or R
Experience with machine learning techniques
Experience with big data technologies (e.g., Snowflake, BigQuery, Databricks) is a plus.
Experience working with data engineering teams to put analytics models and queries into production.

Nutrafol takes into consideration a wide range of factors in final compensation decisions, including but not limited to: skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. The listed range is applicable only to the annual base salary and does not include additional perks, benefits, or applicable bonus eligibility comprising the total compensation package.

Salary Range:

$120,000—$135,000 USD