Data Analyst

Job Description

We have been alerted to the existence of a fraudster impersonating MANSCAPED as a hiring manager or HR representative. This impersonator is utilizing an email address with the domain manscapedjobs. com or manscapedcareers.

com and is making fraudulent offers for our open jobs. Contact from MANSCAPED will only ever come from someone with a manscaped. com email address. This is a scam targeting a number of companies, us included.

If you receive any of these types of messages, we recommend that you don’t respond with any information and that you block and report those users. The MANSCAPED Team Who We Are - MANSCAPED® is a leading men’s grooming and lifestyle consumer brand on a mission to introduce and elevate a whole new self-care routine for men.

What began as the category creator of below-the-waist grooming has quickly evolved into a global omnichannel powerhouse available around the world on manscaped. com, Amazon, and in major retailers including Target®, Walmart, and Best Buy. As a company, we’re more than just ball jokes (though, rest assured, there’s plenty of those).

We proudly uphold seven core values – accountability, authenticity, collaboration, fun, humility, inclusivity, and innovation – which define our brand identity and drive our success. As a people-centric employer brand, we are deeply committed to fostering the growth, happiness, and holistic well-being of each individual on our team. Who We’re Looking For – Reporting to the Sr.

Manager, Analytics, we are seeking a Data Analyst who’s equally comfortable analyzing data as they are building the pipelines and tools that make data analysis possible. The ideal candidate combines a strong analytical mindset with technical curiosity and a hands-on approach to data engineering fundamentals.

You’ll play a key role in ensuring our data is accurate, accessible, and actionable — helping drive smarter decisions across marketing, product, and operations.   Keys to Success - As a member of the Analytics team, success will be measured based on three key actions. 1) Doing your job; setting and meeting appropriate goals that ladder up to the long-term Company vision and the short-term Company targets.

You are expected to align on these goals with your manager, and then deliver on them. 2) Doing Your Job, the Right Way; At MANSCAPED® we strive to be ideal team players. That means striving to live up to the Humble, Hard Working & Smart framework.

3) Engaging (in both directions) with Radical Candor in a way that seeks to improve the performance of yourself and the team around you. Responsibilities: Support analytics and business intelligence initiatives by maintaining and optimizing data pipelines and ETL processesPartner 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 segmentationBuild and maintain automated dashboards and reports to track key performance indicatorsConduct 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 toolsCollaborate with cross-functional teams to improve data accessibility, reliability, and governanceOther duties as required  Qualifications:  2+ years of direct experience in analytics, reporting, or data management rolesBachelor’s degree Data Science, Computer Science, Business Analytics, Economics, or related disciplineProficiency 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 plusProficiency with Excel and Google Sheets for data analysis and modelingExperience with data visualization tools such as Looker, Tableau, or Power BI Familiarity with cloud data warehouses (Snowflake, BigQuery, Redshift, etc. ) a plusSolid understanding of marketing analytics tools (e.

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