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Director, Data Analytics

Job in Bentonville, Benton County, Arkansas, 72712, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
  • Lead the development and execution of data analytics strategies aligned with business objectives to drive actionable insights.
  • Identify and evaluate data sources, ensuring data quality and relevance for analytics initiatives.
  • Oversee advanced analytics projects, applying statistical methods and data visualization to support decision-making.
  • Collaborate cross-functionally to translate business requirements into data-driven solutions and measurable outcomes.
  • Mentor and guide analytics teams on best practices, tools, and methodologies to enhance capabilities.
  • Monitor and improve data governance, quality management, and compliance with established standards.
  • Communicate complex analytical findings effectively to senior leadership and stakeholders.
Requirements
  • Option 1:
    Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 years' experience in data analysis, data science, statistics, or related field.
  • Option 2:
    Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field.
  • Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.
  • Proficiency in data visualization tools and techniques, including Tableau, PowerBI, and Python libraries, to communicate complex data effectively.
  • Strong knowledge of business intelligence, project management, and translating business requirements into actionable data initiatives.
  • Expertise in data source identification, data governance, and ensuring data integrity across distributed systems.
  • Ability to lead cross-functional teams, mentor associates, and influence stakeholders through clear, data-driven storytelling.
  • Demonstrated capability to evaluate business impact and align analytics strategies with organizational goals.
Hard Skills
  • data analysis
  • data science
  • statistics
  • data visualization
  • data governance
  • data integrity
  • business intelligence
  • project management
  • data-driven solutions
  • analytics strategies
Soft Skills
  • leadership
  • mentoring
  • collaboration
  • communication
  • influencing
  • storytelling
  • cross-functional teamwork
  • evaluating business impact
  • translating business requirements
  • guiding teams
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