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Stripe
Stripe

Financial infrastructure for the internet

Sales Compensation Analytics & Systems Specialist

职能财务/会计
级别中级
地点CHI, SF, NYC
方式现场办公
类型全职
发布1个月前
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Salesforce

Who we are About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Sales Compensation Team at Stripe is responsible for the overall compensation strategy, design, and payment administration for the global sales organization. We ensure that Stripe’s objectives align with the compensation program and that our sales teams are paid accurately and timely. We provide thought leadership for the go-to market initiatives so that performance and compensation are effectively correlated. The Sales Comp team partners closely with the revenue generating and support functions across Stripe to support the success of our go-to-market efforts.

What you’ll do

Stripe’s Sales Compensation Team has opened a new role that will digest critical data sets of our sales performance and correlation to variable compensation. The objective is to provide advanced analytics that translate raw trends into a compelling business narrative, synthesizing the strategic implications, quantifying the business impact, and prescribing actionable next steps to shape compensation strategies for our fast-growing salesforce As Stripe’s sales teams and commercial strategy grows in size and complexity, this information is required to ensure we have industry leading compensation mechanisms to motivate and reward our world-class sales organization.
An equally important component of this position is to support the enhancement and use of our Incentive Compensation Management (ICM) tool. This role will work closely with our experienced product expert to ensure we use our ICM to its maximum capacity for compensation calculations and reporting.

The right person for this position will be equally passionate about data analytics and excels as a program management partner for a compensation system. The successful candidate will need to have experience working with significant autonomy to design an analytics framework for compensation performance measurement, as well as part of a team to support compensation calculations. Proven leverage of analytics and quantitative data to calculate and validate compensation is expected. The role requires resilience and the ability to both partner and lead in cross-functional situations.

This role can be based out of Stripe’s South San Francisco, Chicago, or New York City offices.

Responsibilities

  • Monthly measurement of salesforce quota attainment at varying degrees of granularity.

  • Monthly forecasting of compensation to target based on monthly quota attainment analysis.

  • Conduct deep-dive analysis to uncover the root causes of disconnects between the performance and compensation correlation. Provide the context on why it is happening and propose specific solutions to align performance with compensation.

  • Reporting, with analysis and recommendations, to be provided monthly and quarterly to senior business leadership.

  • Conduct proactive analysis and reviews to uncover trends and offer solutions to potential disconnects between expected and desired performance and compensation correlation.

  • Build proficiency in the ICM tool used by Stripe.

  • Support system administration for the quarterly compensation cycle.

  • Ensure the accurate and timely compensation each quarter to the entire salesforce through the ICM.

  • Build and maintain reporting dashboards for use at the individual, management, and executive levels.

  • Have an in-depth understanding of Stripe’s sales compensation structures and how they interact with our specific sales function, product priorities, and team characteristics.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • BS or BA in Business, Data Science, Economics, Finance, Math, or Statistics.

  • 4+ years of experience in a Sales Compensation or Sales Operations role.

  • 4+ years as a technical expert using a commercial Incentive Compensation Management tool (e.g. Callidus, Captivate IQ, Varicent, Xactly).

  • 4+ years demonstrated data analytics expertise with proven results of optimizing sales results.

  • Proficiency in SQL programming

  • Experience with CRM (e.g. Salesforce) and reporting tools (e.g. Tableau).

  • Strong logic, problem solving, and spreadsheet modeling skills.

  • Very organized and attentive to detail, with excellent prioritization skills that allow you to consistently deliver quality results on time.

  • Ability to forge strong bonds, work collaboratively with, and influence internal partners such as other Sales channels, Finance, and Business Applications.

  • Ability to handle escalations and urgent compensation requests with poise.

Preferred Qualifications:

  • MBA or applicable Masters degree (e.g. Finance, Data Science, etc.)

  • Sales compensation design experience

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关于Stripe

Stripe

Stripe

Late Stage

Financial infrastructure for the internet

8,000+

员工数

South San Francisco

总部位置

$50B

企业估值

评价

9条评价

2.5

9条评价

工作生活平衡

2.0

薪酬

4.0

企业文化

1.8

职业发展

3.5

管理层

2.2

25%

推荐率

优点

Smart and brilliant coworkers

High compensation and benefits

Challenging and rewarding work

缺点

Toxic culture

Poor work-life balance and overworking

Poor management and leadership issues

薪资范围

1,046个数据点

Mid/L4

Senior/L5

Mid/L4 · Credit Risk Strategist

1份报告

$204,854

年薪总额

基本工资

$157,581

股票

-

奖金

-

$204,854

$204,854

面试评价

5条评价

难度

3.2

/ 5

体验

正面 0%

中性 80%

负面 20%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit