Description

Position Summary...

What you'll do...

The Senior Data Analyst, Transportation Continuous Improvement help s identify areas of loss through analytics within transportation and leads implementation of lean methodologies to reduce loss, as well as develop, implement, and control process improvement. The role is located in Bentonville, AR.

You'll sweep us off our feet if...
• Data visualization experience with tools like Tableau or PowerBI .
• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions.
• Project Management experience with end-to-end ownership of projects.
• Intellectual curiosity that leads to process and business improvement.
• You have compelling, persuasive oral and written communication skills and can build strong cross-functional relationships.
• You have extreme ownership and Intellectual curiosity that leads to process and business improvement.
• You are comfortable with shifting priorities in fast moving environment.
• Six Sigma Certification a plus

You'll make an impact by...
• Advanced Analytics : In-depth investigation of key drivers of transportation dynamic optimization and data quality. Work with large, disparate datasets to measure business KPIs and to conduct strategic analyses to inform critical business decisions. Develop data visualization to monitor and quantify the impact of changes and unique business challenges and use data to influence strategic decision making.
• Partnership and Collaboration : Engaging with team members and cross-functional partners on a consistent basis and establish credibility and influence change. Drive process optimization and collaboration across the organization. Analyze stakeholder needs and partner with them to share relevant information.
• Planning : Thinking strategically to identify the key metrics and initiatives needed to drive change within the organization. Quickly translate strategic, conceptual ideas into clear action plans, roadmaps, and timelines.
• Continuous Improvement: Analyze and improve processes by leveraging lean, six sigma, and zero-loss principles. Identify opportunities to positively impact cost and growth plans, and influence incorporation into long-range plans.

Minimum Qualifications
• Bachelor's degree in Supply Chain , Data Science, Computer Science, Analytics, Statistics or relevant field with 4 years of experience in analytics related field or Master's degree in Supply Chain, Data Science, Computer Science, Analytics, Statistics or relevant field with 2 years of experience in analytics related.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 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. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)

Primary Location...
311 NORTH WALTON BOULEVARD, BENTONVILLE, AR 72716, United States of America

Responsibilities

• The Senior Data Analyst, Transportation Continuous Improvement help s identify areas of loss through analytics within transportation and leads implementation of lean methodologies to reduce loss, as well as develop, implement, and control process improvement
• Advanced Analytics : In-depth investigation of key drivers of transportation dynamic optimization and data quality
• Work with large, disparate datasets to measure business KPIs and to conduct strategic analyses to inform critical business decisions
• Develop data visualization to monitor and quantify the impact of changes and unique business challenges and use data to influence strategic decision making
• Partnership and Collaboration : Engaging with team members and cross-functional partners on a consistent basis and establish credibility and influence change
• Drive process optimization and collaboration across the organization
• Analyze stakeholder needs and partner with them to share relevant information
• Planning : Thinking strategically to identify the key metrics and initiatives needed to drive change within the organization
• Quickly translate strategic, conceptual ideas into clear action plans, roadmaps, and timelines
• Continuous Improvement: Analyze and improve processes by leveraging lean, six sigma, and zero-loss principles
• Identify opportunities to positively impact cost and growth plans, and influence incorporation into long-range plans

Qualifications

• Data visualization experience with tools like Tableau or PowerBI
• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions
• Project Management experience with end-to-end ownership of projects
• You have compelling, persuasive oral and written communication skills and can build strong cross-functional relationships
• You have extreme ownership and Intellectual curiosity that leads to process and business improvement
• You are comfortable with shifting priorities in fast moving environment
• Bachelor's degree in Supply Chain , Data Science, Computer Science, Analytics, Statistics or relevant field with 4 years of experience in analytics related field or Master's degree in Supply Chain, Data Science, Computer Science, Analytics, Statistics or relevant field with 2 years of experience in analytics related
• Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field
• Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)