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 natural, science-backed formulas for hair growth and provide support for people at every step of their hair journey. Our multi-factorial approach targets root causes of hair thinning using a patented blend of botanicals. 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.

We are seeking a highly motivated and problem solving Data Analyst to join our dynamic team. The ideal candidate will have a passion for data and analytics, strong problem-solving skills, and the ability to derive meaningful insights from complex datasets. As a Data Analyst, you will play a crucial role in supporting our customer retention team. Your insights will improve our customers' experience here at Nutrafol.

Responsibilities

• Work with various data sources, extracting and transforming data for analysis.
• Perform exploratory data analysis to identify trends, and patterns within our customer base.
• Summarize and visualize data findings through charts, graphs, and reports.
• Generate regular reports and prototype dashboards for key stakeholders.
• Collaborate with cross-functional stakeholders to understand data requirements, provide analytical support, and actionable insights.
• Communicate findings and insights to non-technical stakeholders in a clear and understandable manner

Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Information Systems).
• 1-3 years of data analytics experience; experience working in an eCommerce company is a plus
• Strong analytical and problem-solving skills.
• Exposure to data analysis tools and programming languages (e.g., Python, R, SQL).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively in a team environment.
• Detail-oriented with a strong sense of accountability.