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Senior Incentive Compensation Data Analyst

Senior Incentive Compensation Data Analyst

CompanyExact Sciences
LocationMadison, WI, USA
Salary$85000 – $135000
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Math, Business Administration, Finance, Accounting, or a related field.
  • 6+ years of experience in business consulting, operations, sales strategy, or analytics.
  • Proficient in Microsoft Excel to include Excel macros, pivot tables, and modeling.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Responsibilities

  • Develop incentive compensation analysis, situational modeling, and decision modeling for current and possible future initiatives; communicate this analysis with leadership to inform decision making.
  • Evaluate the potential impact for incentive compensation with changes in market opportunity, potential business impact of new products and/or strategies.
  • Analyze and validate data in support of the Commercial Operations team as they make key strategic sales decisions on planning, budgeting, forecasting, territory analysis, and sales performance management.
  • Evaluate and validate sales performance data at high level of accuracy, repeatability, and scalability.
  • Oversee and manage the administration of sales incentive plans (work along with analyst to effectively update tools/engines to correctly calculate individual payouts).
  • Prepare, review, and distribute quota methodology to ensure the corporate objectives are optimally allocated to all sales channels.
  • Analyze sales performance data to identify trends, issues, and opportunities for improvement.
  • Develop presentations for internal and external audiences.
  • Effectively communicates with internal and external senior leaders and stakeholders.
  • Demonstrate strong analytical skills, business intuition, organizational ability, and project management knowledge.
  • Demonstrate excellent interpersonal and communication skills, ability to operate in a cross cultural and complex matrix environment, and ability to build consensus across varying functions.
  • Adaptable, open to change, and able to work in ambiguous situations and respond to new information or unexpected circumstances.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company’s Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to work designated schedule.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.

Preferred Qualifications

  • Proficient in SQL, Tableau, Databricks