MANSCAPED
Beauty • B2C • eCommerce
MANSCAPED is a leading brand in men's grooming, offering a range of products designed specifically for male personal care. Their innovative tools and grooming kits, such as the Lawn Mower® and Beard Hedger®, provide effective solutions for body hair management, while their unique aftercare products ensure a comfortable grooming experience. The brand emphasizes quality, skin safety, and customer satisfaction with a commitment to enhancing men's grooming routines.
Data Analyst
November 26
MANSCAPED
Beauty • B2C • eCommerce
MANSCAPED is a leading brand in men's grooming, offering a range of products designed specifically for male personal care. Their innovative tools and grooming kits, such as the Lawn Mower® and Beard Hedger®, provide effective solutions for body hair management, while their unique aftercare products ensure a comfortable grooming experience. The brand emphasizes quality, skin safety, and customer satisfaction with a commitment to enhancing men's grooming routines.
📋 Description
• Support analytics and business intelligence initiatives by maintaining and optimizing data pipelines and ETL processes • Partner with senior analysts and data engineers to ensure data is accurately modeled, transformed, and documented across multiple sources (Shopify, Amazon, CRM, marketing platforms, etc.) • Collect, analyze, and interpret data to identify trends and generate actionable insights for retention marketing, product performance, and customer segmentation • Build and maintain automated dashboards and reports to track key performance indicators • Conduct data validation and quality checks, to ensure data integrity and consistency • Assist in developing and testing basic forecasting models and reports and help refine business logic through SQL and analytics tools • Collaborate with cross-functional teams to improve data accessibility, reliability, and governance • Other duties as required
🎯 Requirements
• 2+ years of direct experience in analytics, reporting, or data management roles • Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, or related discipline • Proficiency in SQL for querying, transforming, and aggregating data • Working knowledge of ETL concepts, data modeling, and pipeline automation (e.g., Daasity, dbt, Fivetran, Airflow, or similar tools) is a plus • Proficiency with Excel and Google Sheets for data analysis and modeling • Experience with data visualization tools such as Looker, Tableau, or Power BI • Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) a plus • Solid understanding of marketing analytics tools (e.g., Google Analytics, Shopify, Klaviyo, etc.) a plus • Excellent analytical, problem-solving, and communication skills, with a strong attention to detail
🏖️ Benefits
• 20 accrued vacation days per year • 40 hours of paid sick leave annually • 3 paid mental health days • 9 paid holidays throughout the year • Employee 401(k) plan and company match • Pet insurance • Comprehensive life insurance, AD&D and long-term disability coverage • Medical, dental, and vision insurance plans, along with Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) • Employee Assistance Program for life's challenges • Accident and critical illness plans • Monthly utility allowance for Wifi and phone • Employee discount program • Wellness challenges • Paid parental leave • Regular recognition initiatives • One paid volunteer day per year • Certified Great Place to Work with opportunities for advancement
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