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Data Analytics Manager

Job in Cincinnati, Hamilton County, Ohio, 45202, USA
Listing for: ARAMARK
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Science Manager, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 125000 - 155000 USD Yearly USD 125000.00 155000.00 YEAR
Job Description & How to Apply Below

Aramark is seeking a Data Analytics Manager to turn data into actionable insights across our food, facilities, and uniform services. You will lead analytics projects, develop dashboards and models, and partner with operations, finance, and client teams to drive performance, safety, and guest satisfaction. In this role, you will mentor analysts, champion data quality, and present clear recommendations to leaders. Join a culture built on service, teamwork, inclusivity, and continuous improvement, with opportunities to grow your career across diverse industries and make a daily impact on clients and communities.

Responsibilities

  • Lead analytics projects to improve food, facilities, and uniform service performance across client sites
  • Collect, clean, and analyze operational, financial, and customer data from multiple systems
  • Develop dashboards, KPIs, and reports to inform leadership decisions and track performance
  • Partner with operations, finance, and client teams to translate insights into actionable improvements
  • Build and maintain predictive and descriptive models to forecast trends and optimize resources
  • Standardize analytics processes, data definitions, and quality controls across locations
  • Present findings to non-technical stakeholders with clear visualizations and recommendations
  • Support testing of new initiatives and measure business impact of changes
  • Mentor analysts and promote a data-driven culture focused on continuous improvement
  • Ensure data governance, security, and compliance with company and client requirements

Required Skills

  • Data analysis
  • Data visualization (Tableau/Power BI)
  • SQLETL and data prep
  • Statistics and A/B testing
  • Dashboard development
  • Predictive modeling
  • KPI design and performance measurement
  • Data governance and quality management
  • Storytelling with data
  • Excel/Google Sheets (advanced)
  • Project management
  • Business intelligence tools
  • Presentation skills
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