​This is a full-time, remote (US-Remote) Data Analyst role at MANSCAPED®, a leading men’s grooming and lifestyle consumer brand. Reporting to the Sr. Manager, Analytics, this role is a hybrid position focused on both data analysis and the building/optimizing of data pipelines (ETL). The analyst will drive smarter decisions across marketing, product, and operations by ensuring data is accurate, accessible, and actionable.

• ​Location: Remote, United States.
• ​Compensation Range: $75,000 – $85,000 USD annually.
• ​Experience Required: 2+ years of direct experience in analytics, reporting, or data management roles.
• ​Focus: SQL, ETL/pipeline maintenance, dashboard building, customer segmentation, and marketing/e-commerce data analysis (Shopify, Amazon, CRM).
• ​Work Environment: Remote-first employer with a monthly utility allowance.

​Responsibilities: Pipelines, Insights, and Reporting

​The analyst will combine a technical, hands-on approach to data engineering fundamentals with a strong analytical mindset to deliver actionable business intelligence.

• ​Data Pipeline/ETL: Support analytics and BI initiatives by maintaining and optimizing data pipelines and ETL processes .
  • ​Note: This includes partnering with senior analysts and data engineers to ensure data is accurately modeled, transformed, and documented across sources (Shopify, Amazon, CRM, etc.).
• ​Analysis & Insights: Collect, analyze, and interpret data to identify trends and generate actionable insights for retention marketing, product performance, and customer segmentation.
• ​Reporting: Build and maintain automated dashboards and reports to track Key Performance Indicators (KPIs).
• ​Data Quality: Conduct data validation and quality checks to ensure data integrity and consistency.
• ​Modeling: Assist in developing and testing basic forecasting models and reports, and help refine business logic through SQL and analytics tools.
• ​Collaboration: Collaborate with cross-functional teams to improve data accessibility, reliability, and governance.

​Required Qualifications and Technical Skills

​The successful candidate must be proficient in SQL and experienced with common BI and data pipeline tools used in a modern e-commerce environment.

• ​Experience: 2+ years of direct experience in analytics, reporting, or data management roles.
• ​Core Technical Skills:
  • ​Proficiency in SQL for querying, transforming, and aggregating data.
  • ​Proficiency with Excel and Google Sheets for data analysis and modeling.
  • ​Experience with data visualization tools such as Looker, Tableau, or Power BI.
• ​Pipeline Knowledge (Plus): Working knowledge of ETL concepts, data modeling, and pipeline automation (e.g., Daasity, dbt, Fivetran, Airflow, or similar tools) is a plus.
• ​E-commerce Knowledge (Plus): Solid understanding of marketing analytics tools (e.g., Google Analytics, Shopify, Klaviyo, etc.) and familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) are a plus.

​Benefits Highlights

• ​PTO/Leave: Generous 20 accrued vacation days, 40 hours of paid sick leave, 3 paid mental health days, 9 paid holidays (including birthday), and paid parental leave.
• ​Retirement: Employee 401(k) plan with company match.
• ​Insurance: Comprehensive medical, dental (100% employer paid), and vision insurance, plus Paws & Claws coverage (pet insurance).