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Overnight Exploratory Data Analysis Jobs in Wisconsin

Partner with TPM in all phases of the product lifecycle, from initial data exploration during discovery to hands-on development and post-launch analysis. * Conduct deep-dive data analysis to validate ...

Partner with TPM in all phases of the product lifecycle, from initial data exploration during discovery to hands-on development and post-launch analysis. * Conduct deep-dive data analysis to validate ...

Partner with TPM in all phases of the product lifecycle, from initial data exploration during discovery to hands-on development and post-launch analysis. * Conduct deep-dive data analysis to validate ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Explore Uline.jobs to learn more!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Explore Uline.jobs to learn more!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Explore Uline.jobs to learn more!

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... Explore Uline.jobs to learn more!

Showing results 21-40

Overnight Exploratory Data Analysis information

What is the difference between Overnight Exploratory Data Analysis vs Data Analyst?

AspectOvernight Exploratory Data AnalysisData Analyst
CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in similar fields
Work EnvironmentTypically in data teams, often during night shifts for real-time insightsOffice or remote, regular hours
Industry UsageUsed for quick, overnight data insights, often in finance, tech, or e-commerceOngoing data reporting and analysis across industries
Search IntentUnderstanding overnight data analysis tasks and skillsGeneral data analysis roles and responsibilities

Overnight Exploratory Data Analysis focuses on quick, real-time data insights during night shifts, often for immediate decision-making. In contrast, Data Analysts perform ongoing, comprehensive data analysis during regular hours, supporting strategic business decisions across various industries.

What are the most commonly searched types of Exploratory Data Analysis jobs in Wisconsin?

The most popular types of Exploratory Data Analysis jobs in Wisconsin are:

What cities in Wisconsin are hiring for Overnight Exploratory Data Analysis jobs?

Cities in Wisconsin with the most Overnight Exploratory Data Analysis job openings:

Full-time

Posted 5 days ago


Job description

At Jockey, caring is our responsibility. It’s the fabric of who we are and drives everything we do. It drives us to listen, innovate and improve. To design thoughtfully. To craft skillfully. To give back wholeheartedly. Founded in 1876, Jockey is a family-owned company recognized the world over for delivering feel-good comfort. Our premium apparel is sold in more than 140 countries and our commitment to quality, innovation and customer service is legendary.

We believe that extraordinary service comes from the heart and is delivered by extraordinary individuals! Is that you?

Jockey is seeking a Data Scientist to join our IT team!

 

JOB SUMMARY

Jockey is looking to fill a Data Scientist role with a dedicated analytics and modeling partner in our Product Solutions Pillar. This role, along with a Technical Product Manager (TPM), create a cohesive unit responsible for the end-to-end ownership of a product domain. This is a dynamic role, splitting time between collaborating on new product initiatives, while supporting the ongoing business intelligence needs of our stakeholders. You empower the business with data-informed decision making through in-depth data analysis and modeling.

JOB EXPECTATIONS 

  • Partner with TPM in all phases of the product lifecycle, from initial data exploration during discovery to hands-on development and post-launch analysis.  
  • Conduct deep-dive data analysis to validate hypotheses, identify trends, and conduct root cause analysis.  
  • Manage and support the ongoing BI and reporting needs of the business, ensuring our stakeholders have the data they need to operate effectively.  
  • Collect, clean, and transform large datasets from various sources to prepare them for analysis. 
  • Apply statistical methods and algorithms to identify trends, build predictive models, and forecast outcomes.  

QUALIFICATIONS 

REQUIRED: 

  • Bachelors degree in business or technical domain. 
  • 2+ years of experience in data science or other technical role.