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Accounting Manager at ScienceLogic
Reston, VA, US

What we’re looking for…

ScienceLogic is looking for a highly motivated individual who wants to join a close-knit, collaborative team that encourages growth and thinking outside of the box.  You will play a key role in preparing our company for continued success as we roll out our new hybrid cloud monitoring platform, SL1. Reporting directly to the VP of Finance, you will be responsible for management of ScienceLogic’s general ledger, overseeing the daily operations of the entire accounting function. You will also ensure our financial statements are prepared timely and in accordance with GAAP. Our finance team is involved in every area of the business; therefore, you can expect exposure in new areas as you grow and work on ad-hoc projects as requested by your manager, as well as our executive management team.

What you’ll be doing…

  • Prepare monthly financial statements and reports
  • Manage the day-to-day accounting operations (General Ledger, A/P, and Cash Management), including international subsidiaries
  • Be responsible for the monthly consolidation of the international subsidiaries into the parent company
  • Prepare the monthly bank reporting package
  • Coordinate and assist with annual financial statement audits
  • Oversee the monthly financial statement closing process, including preparation of reconciliation schedules
  • Ensure accuracy of financial systems (NetSuite)

Qualities you possess…

  • Bachelor’s Degree in Accounting or related field. CPA license required.
  • 7+ years of relevant full-time work experience
  • Strong knowledge and understanding of Generally Accepted Accounting Principles (GAAP)
  • NetSuite experience a plus
  • Ability to be flexible, learn, and work effectively in teams
  • Strong Microsoft excel skills (pivot tables, lookups, etc.)
  • Strong written and verbal communication skills

 

About ScienceLogic 

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.