Sales Operations Finance Analyst

3 days left

Location
Orlando, Florida
Salary
Competitive
Posted
May 24, 2019
Ref
15515
Metro Area
Orlando
Duration
Full Time
  • Support Domestic Sales Finance by assisting with the budget and forecast process
    • Plan and monitor timelines to meet strict deadlines
    • Gather and compile data for budget analysis
    • Create annual budget and forecast books
    • Ownership of various income statement items and departmental budgets
  • Month-end close process and reporting
    • Variance analysis
    • Serve as a partner with shared service accounting to post entries and investigate issues
    • Coordinate and lead the monthly review with finance team, collecting variance explanations and key performance drivers
    • Provide monthly reporting package for Domestic Sales Finance and Sales management
    • Serve as finance liaison to specific business departments by communicating results and assistance in managing operating expenses
  • Various projects and ad hoc requests including but not limited to:
    • Incentive compensation process support
    • Process and policy improvement
    • Deal analysis and support
    • Data mining
    • Assisting other members of the finance team as necessary

Requirements:

  • Demonstrates strong organizational, observational and communication skills.
  • Demonstrates strong documentation and analytical skills, with attention to detail
  • Demonstrates strong analytical, qualitative and problem solving abilities.
  • Takes initiative to participate in learning opportunities and openly shares information with others
  • Ability to work in a team environment
  • Creative problem solving & strategic thinker
  • Familiarity with financial accounting (GAAP) and financial systems
  • Advanced Microsoft Excel (Pivot tables, VLookups, formulas) is required
  • BS in Business, Finance or Accounting
  • Minimum 2-3 years of experience
     

Preferred Skills and Abilities:

  • SAP
  • Business Warehouse
  • Salesforce.com
  • Microsoft Office Suite, including Access
  • Sales Industry knowledge
  • Data mining experience