Associate, Data Analyst

About Us

We’re a growing company. Everything we do we do to help people grow. Our mission is to be a partner in progress on each unique journey to hair wellness. We provide personalized natural solutions for healthy hair growth and connect people with doctors who care about hair. We challenge existing treatments and methodologies to continue to advance the frontier of hair science. As we help our customers grow we grow too- through diversity & inclusion teamwork & collaboration and through empowering ourselves and others with our passion for wellness and innovation.

#KeepGrowing . It’s our mantra- a voice of encouragement for hair and humanity motivating people to grow in the best ways possible: personally spiritually and exceptionally.

About You

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.