Senior Data & Analytics Product Lead

Tyson Foods

Springdale (AR)

Hybrid

USD 110,000 - 140,000

Full time

12 days ago

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Benefits offered by this job

Paid time off
401(k) plan
Health, dental, vision benefits
Life insurance

Job summary

Tyson Foods is seeking a Lead Analyst to drive data products and analytics for the Beef & Pork division. You will partner with business and IT leaders to translate requirements, shape data and reporting solutions, and deliver insights that support operations and enterprise initiatives.

The role requires strong problem solving, business context understanding, and the ability to influence data strategy, governance, and how analytics accelerates business results across functions.

Qualifications

  • 5+ years of experience in information systems or a related area with business analytics background.
  • Bachelor's degree in a technical field is required.
  • Deep knowledge of IT standards, data modeling, and analytics delivery.
  • Proven ability to translate business needs into data products and roadmaps.

Responsibilities

  • Partner with IT and business to translate requirements into data solutions.
  • Lead complex transformation initiatives affecting processes and technology.
  • Develop analytics strategies, data architecture guidance, and roadmaps.
  • Communicate insights to executives and diverse audiences clearly.

Skills

SQL
BigQuery
PowerPoint
Excel
Communication
Presentation skills
Stakeholder management
Problem solving
Leadership

Education

Bachelor's degree in Computer Science, Information Systems, or other technical area

Tools

Power BI
DB2
Google Cloud Platform (GCP)
BigQuery

Job description

Tyson Foods is seeking a Lead Analyst to drive data products and analytics for the Beef & Pork division. You will partner with business and IT leaders to translate requirements, shape data and reporting solutions, and deliver insights that support operations and enterprise initiatives.

The role requires strong problem solving, business context understanding, and the ability to influence data strategy, governance, and how analytics accelerates business results across functions.

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