Analyst, Business Data

Job Locations US-CA-Torrance
ID
2026-19257
Category
Supply Chain
Position Type
Regular Full-Time

Overview

POSITION SUMMARY STATEMENT:

The Business Data Analyst, Technology and Transformation will interpret data and analyze results to turn data into information that will help make better business decisions. They will be responsible for creating excel models to validate metrics in dashboards and ensure data integrity. This position will also leverage the use of technology, such as Tableau Plus, AI intelligence or Power BI, to develop ad-hoc reports and dashboards. The Analyst will help develop and maintain documentation related to data architecture and dashboards. The Analyst will also guide teams and help them navigate through dashboards and show them how to use the tools accurately. This position will also require to support the refresh process of data flows.

 

DETAILED RESPONSIBILITIES/DUTIES:  

•    Interpret data and analyze results to turn data into information that will help make better business decisions
•    Build excel models to validate metrics in dashboards and ensure data integrity
•    Generate the output of daily, weekly, and monthly processes to refresh data sources and produce reports
•    Collaborate with global team members to capture requirements for projects
•    Assist and direct teams to find the right data sources for ad-hoc projects
•    Leverage the use of technology, such as Tableau or Power BI, to create ad-hoc reports and dashboards for teams in Supply Chain and Global Operations.
•    Integrate AI functionality in the development of dashboards to leverage the Tableau Plus offering.
•    Participate in the development and enhancement of Supply Chain and Global Operations metrics to improve efficiency and ensure global consistency
•    Develop and document internal team procedures for all processes and reports
•    Generate documentation regarding the data and dashboard architecture in Tableau or Power BI
•    Support the refresh process of data flows
•    Locate and define new process improvement opportunities

 

SUPERVISORY RESPONSIBILITIES:

No supervisory responsibilities

 

 

Qualifications

REQUIRED QUALIFICATIONS:

Skills: 
•    Advanced Excel skills
•    Tableau or Power BI experience
•    Excellent communication
•    Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
•    Technical expertise regarding data models
•    Well-organized, detailed oriented, logical, accurate and analytical in thought and approach
•    Time management and ability to meet all project deadlines
•    Great teammate able to adapt as the external environment and organization evolves

Education:
•    Bachelor’s degree in Business, Supply Chain or Analytical field

Experience:

•    2+ years of experience in a data analytics
•    Understand various elements of Supply Chain Operations (Planning, Demand Management, Inventory, Sourcing, etc.)

 

PREFERRED QUALIFICATIONS:

•    2+ years of Supply Chain Operations experience 
•    2+ years of experience in a data analytics and management system environment

#LI-EG1

 

US Benefits Statement

Herbalife offers a variety of benefits to eligible employees in the U.S. (limited to the 50 States and the District of Columbia), which includes Group Health Programs, other Voluntary Benefit Programs, and Paid Time Off. Group Health Programs include Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D; Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). Other Voluntary Benefit Programs include a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. Paid time off includes Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave and time off for voting.

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