Analyste de Données confirmé

at 
Sheertex
Posted on 
14 Jul
JOB CATEGORY

We’re looking for a Senior Data Analyst who will help lead our data analytics team, validate data correctness and consistency, and work with the operations, finance and revenue teams to help them understand their data through analysis and reporting.

Sheertex makes the strongest pantyhose in the world. Don't just take our word for it—in 2018 we were named one of TIME's "Best Inventions"! We are a company that prides itself on using technology to advance a once stagnant industry. Through our initial start of creating a fiber that the hosiery industry had never used before to our ongoing push to automate our manufacturing processes; the journey of Sheertex has a common thread of striving to be innovative in our use of technology. Even our method of selling direct-to-consumer through our online channels was uncommon in the hosiery industry, and is just another way Sheertex does things a little differently.

What you can expect in the first 1-3 months:
as you familiarize yourself with the company, you will work with the Data team to assist the marketing and revenue teams in analyzing raw data, building reports, and providing data-driven insights.

What you can expect in the first 3-6 months:
you will start to take ownership of the marketing and revenue data, gaining an in-depth understanding of what data are available, and how those can be used to optimize decision making. You will start to catch errors, notice inconsistencies, and investigate anomalies. You will broaden your knowledge of Sheertex data, by beginning to investigate data from Operations and get a better understanding of the internal data associated with our factory.

Responsabilités/ Responsibilities:
- Collaborate with the e-commerce, performance marketing, retention, sales and affiliate teams to understand their data needs and generate data insights;
- Perform SQL data queries and manage data to support the teams to take the right business decisions;
- Conceptualize, create and maintain reports, dashboards, and data visualizations that can be go-to reference assets;
- You will be responsible for developing automated, scalable reporting and analytics solutions for our marketing and finance teams;
- Analyze performance, identify internal & external trends from data, troubleshoot issues, identify new opportunities and address ad hoc data requests;
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) able to clean, massage, and organize the data;
- Ability to analyze and extract relevant information from large, complicated data sets of structured and unstructured data;
- Using multiple data sources, create reporting and performance monitoring tools and dashboards for end users;
- Partner with internal and external team members to design relevant data visualizations using Looker and work with team members to build dashboards for data quality and analysis;
- Develop and maintain reports, dashboards, reporting tools and structures to track key metrics;

Compétences nécessaires/Requirements:
- 3+ years experience as a Data Analyst at an e-commerce and/or manufacturing company.
- Strong understanding of SQL or Snowflake and proficiency in data visualization
- Proficiency with data science analysis and modeling packages in Python (including Pandas, NumPy, etc);
- Familiarity with marketing metrics such as first/last touch attribution, CAC, contribution margin, COGS, etc.
- Experience completing a data project from ideation to data ingestion to dashboarding/modeling;
- Proven ability to use data (statistics and analytics) for sound decision making across multiple functions;
- You have a proven ability to work on interdisciplinary teams with parallel projects and agendas on tight deadlines;
- Experience solving unique problems, thinking outside of the box, and experimenting on new solutions;

Atout/ Bonus:
- E-commerce experience, especially with Shopify
- Experience with Google Ads and Facebook marketing
- Previous experience working in a manufacturing environment or Startup;

Job Description

We’re looking for a Senior Data Analyst who will help lead our data analytics team, validate data correctness and consistency, and work with the operations, finance and revenue teams to help them understand their data through analysis and reporting.

Sheertex makes the strongest pantyhose in the world. Don't just take our word for it—in 2018 we were named one of TIME's "Best Inventions"! We are a company that prides itself on using technology to advance a once stagnant industry. Through our initial start of creating a fiber that the hosiery industry had never used before to our ongoing push to automate our manufacturing processes; the journey of Sheertex has a common thread of striving to be innovative in our use of technology. Even our method of selling direct-to-consumer through our online channels was uncommon in the hosiery industry, and is just another way Sheertex does things a little differently.

What you can expect in the first 1-3 months:
as you familiarize yourself with the company, you will work with the Data team to assist the marketing and revenue teams in analyzing raw data, building reports, and providing data-driven insights.

What you can expect in the first 3-6 months:
you will start to take ownership of the marketing and revenue data, gaining an in-depth understanding of what data are available, and how those can be used to optimize decision making. You will start to catch errors, notice inconsistencies, and investigate anomalies. You will broaden your knowledge of Sheertex data, by beginning to investigate data from Operations and get a better understanding of the internal data associated with our factory.

Responsabilités/ Responsibilities:
- Collaborate with the e-commerce, performance marketing, retention, sales and affiliate teams to understand their data needs and generate data insights;
- Perform SQL data queries and manage data to support the teams to take the right business decisions;
- Conceptualize, create and maintain reports, dashboards, and data visualizations that can be go-to reference assets;
- You will be responsible for developing automated, scalable reporting and analytics solutions for our marketing and finance teams;
- Analyze performance, identify internal & external trends from data, troubleshoot issues, identify new opportunities and address ad hoc data requests;
- Coordinate research and analytic activities utilizing various data points (unstructured and structured) able to clean, massage, and organize the data;
- Ability to analyze and extract relevant information from large, complicated data sets of structured and unstructured data;
- Using multiple data sources, create reporting and performance monitoring tools and dashboards for end users;
- Partner with internal and external team members to design relevant data visualizations using Looker and work with team members to build dashboards for data quality and analysis;
- Develop and maintain reports, dashboards, reporting tools and structures to track key metrics;

Compétences nécessaires/Requirements:
- 3+ years experience as a Data Analyst at an e-commerce and/or manufacturing company.
- Strong understanding of SQL or Snowflake and proficiency in data visualization
- Proficiency with data science analysis and modeling packages in Python (including Pandas, NumPy, etc);
- Familiarity with marketing metrics such as first/last touch attribution, CAC, contribution margin, COGS, etc.
- Experience completing a data project from ideation to data ingestion to dashboarding/modeling;
- Proven ability to use data (statistics and analytics) for sound decision making across multiple functions;
- You have a proven ability to work on interdisciplinary teams with parallel projects and agendas on tight deadlines;
- Experience solving unique problems, thinking outside of the box, and experimenting on new solutions;

Atout/ Bonus:
- E-commerce experience, especially with Shopify
- Experience with Google Ads and Facebook marketing
- Previous experience working in a manufacturing environment or Startup;

Responsibilities

Requirements

Offer

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