You lead a hardworking team and expert 

• Problem-solver, with analytic thinking and ability to apply root cause analysis
• Who can prioritize multiple work assignments and meet deadlines
• Effective written and oral communication.

You connect the dots -  

• Drive insights from internal and external data for business
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements
• Build data tools for Business analytics to assist them in decision making 

You are a collaborator -
 

• Work closely with Division/Global Analytics team
• Work with data and analytics specialists across functions to drive data solutions

You are an innovator -
 

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Good facilitation and project management skills

What you’ll need (Required):
 

• Bachelor’s degree required, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus
• Master’s in Business or Analytics (preferred)
• Demonstrable ability to support with multi-functional teams in a multifaceted environment
• Proficient in Reporting via Excel, Google, Tableau and other Visualization Tools
• Experience performing root cause analysis on internal and external data answering business questions and find opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Leading a team into reporting, solutioning and Ad-hoc data needs from internal and external sources

What you’ll need (Preferred):
 

• Experience building and optimizing data pipelines, architectures and data sets.
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with scripting languages: Python, Java, etc.
• Experience with Data Flow, Data Pipeline and workflow management tools