Job Title:

Sr. Analyst, Analytic Consulting

Job Description

We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.

Our game-changers:

* Challenge Conventions

* Deliver outcomes unimagined

* Create experiences that go beyond WOW

If this is you, we would love to discuss career opportunities with you.

In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix. A leading global solutions company that reimagines everything CX through strategy, talent, and technology. We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.

We’re a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.

#LI- remote

We are seeking a detail-oriented Analyst specializing in variable compensation to join our dynamic team. The ideal candidate will play a critical role in designing, implementing, and managing compensation plans for sales teams. Their primary focus is on variable compensation, which is the portion of a salesperson's pay that fluctuates based on performance. You will collaborate with cross-functional teams to ensure that compensation strategies align with organizational objectives and industry benchmarks.

 

Key Responsibilities:

 

Program Design & Management:

Develop and implement variable compensation plans, including commission structures, bonuses, and incentive programs.Assess and enhance existing compensation programs to ensure competitiveness and alignment with business goals.

Data Analysis:

Analyze compensation data and trends to provide insights and recommendations for variable pay adjustments.Prepare detailed reports and dashboards depicting compensation trends and program performance metrics.

Collaboration:

Work closely with finance, sales, and operational teams to gather data and feedback on compensation effectiveness.Provide analytical support for compensation audits and reviews.

Compliance & Best Practices:

Ensure compliance with federal and state regulations regarding compensation practices.Stay updated with industry trends and best practices in variable compensation.

Training & Communication:

Develop training materials and educate stakeholders on variable compensation programs.Communicate compensation structures and changes to employees effectively.

Compensation Structure:

Understanding of base salary vs. variable pay ratiosFamiliarity with different commission structures (e.g., tiered, flat rate)Knowledge of pay mix optimization (e.g., 60/40 or 70/30 base-to-variable ratios)

Qualifications:

Minimum of 3 experience in compensation analysis, specifically focused on variable compensation.Strong analytical skills with proficiency in data manipulation and analysis tools (e.g., Excel (can perform complex functions) , Power BI, etc.).Excellent communication and interpersonal skills.Strong attention to detail and ability to manage multiple projects.

Preferred Skills:

Familiarity with advanced data analytics and visualization tools.

#ConcentrixCatalyst

Location:

CRI Work-at-Home

Language Requirements:

Time Type:

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