Required:

• Undergraduate or master’s degree in one of the following majors with relevant business, technology, data and/or analytical focused coursework:

• Business: Accounting, Economics, Finance, Business Analytics
• Technology: Management Information Systems, Data Analytics, Computer Science
• Math/Engineering: Computer Engineering, Mathematics, Statistics, Industrial Engineering
  • Strong communication, team building, teaming and presentation experience
  • 6+ years of technical or advisory-related experience in controllership, accounting, financial planning and analysis and cost accounting
  • Prior experience working with and managing data sets, including extraction and merges from source systems, transformation, and application of algorithms (basic to complex)
  • Experience in leading and developing teams
  • Experience in building finance and accounting models and using purpose-built solutions
  • Demonstrated problem solving and critical thinking skills
  • Ability to work independently and manage multiple projects/ assignments/ responsibilities in a fast-paced environment
  • Ability to travel 80%, on average, based on the work you do and the clients and industries/sectors you serve 
  • Limited visa sponsorship may be available

Preferred:

• • Master's degree in Business, Technology or Math/Engineering
  • Experience with packaged technologies (e.g., S/4HANA, Oracle Cloud, Workday, BlackLine, Workiva)
  • Project experience in areas such as process mapping, root cause/ gap analysis/ best fit, requirements gathering/ definition development, financial modeling and value mapping
  • Experience in developing product costing standards and product cost analytics
  • Experience with a variety of data transformation and algorithmic tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle, Mongo Db
    • CostPerform, Profitability and Performance Management (PaPM), SAP, Oracle, Hyperion, Anaplan
    • Languages (e.g., SQL, Java, JavaScript, jQuery, AJAX, C#, C++, VBA, VB.Net, ASP.Net, HTML, SAS)
    • Reporting Tools (e.g., Business Objects, Reporting Services)
    • Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout)
    • Machine Learning/Cognitive (e.g., Python, Mahout, CognitiveScale)
    • Predictive Analytics/Data Mining: (e.g., IBM SPSS, SAS Enterprise Miner, RPL, Python, Matlab)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
  • Excellent interpersonal and communication skills
  • High energy, result driven person
  • Ability to energize teams through inclusiveness and connection with people
  • Strong commitment to the customer
  • Ability to multi-task and ensure timely deliverables