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Sales Operations Manager

Sales Operations | Hybrid in New York, NY | Full Time, Contract, and Temporary | From $75.00 to $100.00 per hour

Job Description

Sales Operation Manager 16257

  • Hourly pay: $75-$100/hr (Pay varies based on the candidate's experience and location)
  • Worksite: Leading professional development and networking company (New York, NY 10118 - Hybrid, Must be onsite on Tuesdays/Wednesdays/Thursdays)
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 12 Month Assignment

A leading professional networking company seeks a Sales Operations Manager. The successful candidate will assist with various new and existing programs managed by the GTM Operations team, and provide timely support and solutions to partners and successful program execution. The company offers a great work environment!

Sales Operations Manager Responsibilities:

  • Support strategic planning projects for our leadership that provide key business insights for high-priority initiatives.
  • Support systems and tools transformation initiatives to help sales teams and partners effectively scale and grow.
  • Identify and appropriately escalate risks that could jeopardize the successful rollout and recommend options for resolution.
  • Think like an owner and have an impact outside of your core functions by demonstrating leadership, providing leverage, and producing results that will help effectively scale.

Sales Operations Manager Qualifications:

  • 6+ years of experience in consulting, data analytics, or operations roles.
  • BA/BS degree in business, engineering, information systems, or related discipline.
  • Experience working with SQL, Python, Tableau, MS Excel, MS PowerPoint, and O365.
  • Ability to present data in an effective, actionable manner and learn new software quickly is preferred
  • Ability to work effectively with cross-functional teams is preferred.
  • Experience working with large datasets is preferred.
  • Practical understanding of business, technology, big data, and/or entrepreneurship is preferred.
  • Excellent communication and analytical skills are preferred.
  • Ability to effectively manage time, prioritize tasks, and work within deadlines with little supervision is preferred.

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