Category Data Analyst - Insights, Strategy & Growth

Reyes Beverage Group; Waipahu (HI); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k match

Tuition reimbursement

Wellness programs

PTO

Team events

Job summary

Reyes Beverage Group in Hawaii seeks a Category Data Analyst to collect and analyze complex data to understand strategic and operational needs. You will use internal, market, and retailer data to conduct supplier/brand analysis that informs category management decisions.

Responsibilities include building models and dashboards to support guidelines, communicating insights across the organization, managing multiple data initiatives, and identifying opportunities to accelerate performance.

Qualifications

• Bachelor's Degree with 2 to 4 years of related experience.
• High School Diploma/General Education Diploma with 5 to 7+ years of specific experience.

Responsibilities

• The Category Data Analyst will collect and analyze complex data for understanding strategic and operational business needs.
• Use internal, market, and retailer data (IRi and Nielsen) to conduct supplier/brand analysis shaping decisions and actionable insights in category management.
• Communicate key insights across all levels of the organization, manage multiple data initiatives, projects, metrics and ad-hoc analysis.
• Build models and develop reports/dashboards to support supplier/retailer guidelines, including shelving guidance for regional marketing teams.
• Provide analytical expertise to identify gaps and quantify opportunities to accelerate performance.
• Other duties as assigned.

Education

Bachelor's Degree + 2-4 yrs experience

HS Diploma/GED + 5-7+ yrs experience

Job description

Reyes Beverage Group in Hawaii seeks a Category Data Analyst to collect and analyze complex data to understand strategic and operational needs. You will use internal, market, and retailer data to conduct supplier/brand analysis that informs category management decisions.

Responsibilities include building models and dashboards to support guidelines, communicating insights across the organization, managing multiple data initiatives, and identifying opportunities to accelerate performance.