Director Of Incentive Compensation Jobs (NOW HIRING)

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

The In-Home Services Corporate team is devoted to supporting thousands of talented employees in delivering the industry’s best products and solutions. Constantly refining our best-in-class service, IHS Corporate manages the behind-the-scenes operations to ensure a seamless customer experience through analytics, project management and training initiatives.

Compensation Range: $72,400.00-$103,400.00

As an Incentives Compensation Analyst within the In-Home Services Command Center, you will join a strategic organization dedicated to driving nationwide field efficiency. This multifaceted role bridges the gap between complex data and human impact by overseeing the end-to-end administration of incentive compensation. You will be responsible for ensuring data integrity, modeling financial impacts of plan changes, and serving as a trusted partner to field leadership. We are looking for a critical thinker who can leverage SQL, Python, or other analytical softwares to automate processes while maintaining the high level of accuracy and empathy required for incentive management.

Key Responsibilities:

• Manage the end-to-end calculation and processing of incentive payments for field technicians, sales reps, and service managers
• Audit data from Field Service Management software to ensure work orders, parts usage, and labor hours align with compensation rules
• Build and maintain reporting that allow field employees to track their earnings and performance in near real-time
• Perform "What-If" analysis to predict the financial impact of changes to the compensation structure
• Act as a primary point of contact for the field team regarding incentive compensation, providing clear and empathetic explanations of complex payout logic
• Identify opportunities to automate manual data entry and calculation steps using SQL, Python, or specialized ICM (Incentive Compensation Management) software

Education and Experience

• Bachelor's Degree with a focus in Business or related field (Business Administration, Finance, Business Development Economics, Statistics, Mathematics, Education)
• 3-5 years of experience; or equivalent combination of education and experience
• Experience manipulating large datasets in a business environment required
• SQL/R/Python experience preferred

Skills and Qualifications:

• Advanced Excel (Power Query, Pivot Tables, complex formulas) and experience with SQL for data extraction
• The ability to spot a "needle in the haystack" when data doesn't look right
•  Ability to translate complex mathematical formulas into plain English for non-technical field staff
• Willing to take risks, try innovative approaches, be adaptable to change, and learn from failures

Visa sponsorship not available for this role

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Education and Experience

• Bachelor's Degree with a focus in Business or related field (Business Administration, Finance, Business Development Economics, Statistics, Mathematics, Education)
• 3-5 years of experience; or equivalent combination of education and experience
• Experience manipulating large datasets in a business environment required
• SQL/R/Python experience preferred

Skills and Qualifications:

• Advanced Excel (Power Query, Pivot Tables, complex formulas) and experience with SQL for data extraction
• The ability to spot a "needle in the haystack" when data doesn't look right
•  Ability to translate complex mathematical formulas into plain English for non-technical field staff
• Willing to take risks, try innovative approaches, be adaptable to change, and learn from failures

Visa sponsorship not available for this role