
Financial infrastructure for the internet
Sales Compensation Analytics & Systems Specialist
必須スキル
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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
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Monthly measurement of salesforce quota attainment at varying degrees of granularity.
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Monthly forecasting of compensation to target based on monthly quota attainment analysis.
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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.
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Reporting, with analysis and recommendations, to be provided monthly and quarterly to senior business leadership.
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Conduct proactive analysis and reviews to uncover trends and offer solutions to potential disconnects between expected and desired performance and compensation correlation.
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Build proficiency in the ICM tool used by Stripe.
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Support system administration for the quarterly compensation cycle.
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Ensure the accurate and timely compensation each quarter to the entire salesforce through the ICM.
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Build and maintain reporting dashboards for use at the individual, management, and executive levels.
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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
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BS or BA in Business, Data Science, Economics, Finance, Math, or Statistics.
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4+ years of experience in a Sales Compensation or Sales Operations role.
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4+ years as a technical expert using a commercial Incentive Compensation Management tool (e.g. Callidus, Captivate IQ, Varicent, Xactly).
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4+ years demonstrated data analytics expertise with proven results of optimizing sales results.
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Proficiency in SQL programming
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Experience with CRM (e.g. Salesforce) and reporting tools (e.g. Tableau).
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Strong logic, problem solving, and spreadsheet modeling skills.
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Very organized and attentive to detail, with excellent prioritization skills that allow you to consistently deliver quality results on time.
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Ability to forge strong bonds, work collaboratively with, and influence internal partners such as other Sales channels, Finance, and Business Applications.
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Ability to handle escalations and urgent compensation requests with poise.
Preferred Qualifications:
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MBA or applicable Masters degree (e.g. Finance, Data Science, etc.)
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Sales compensation design experience
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Stripeについて

Stripe
Late StageFinancial infrastructure for the internet
8,000+
従業員数
South San Francisco
本社所在地
$50B
企業価値
レビュー
9件のレビュー
2.5
9件のレビュー
ワークライフバランス
2.0
報酬
4.0
企業文化
1.8
キャリア
3.5
経営陣
2.2
25%
知人への推奨率
良い点
Smart and brilliant coworkers
High compensation and benefits
Challenging and rewarding work
改善点
Toxic culture
Poor work-life balance and overworking
Poor management and leadership issues
給与レンジ
1,046件のデータ
Mid/L4
Senior/L5
Mid/L4 · Credit Risk Strategist
1件のレポート
$204,854
年収総額
基本給
$157,581
ストック
-
ボーナス
-
$204,854
$204,854
面接レビュー
レビュー5件
難易度
3.2
/ 5
体験
ポジティブ 0%
普通 80%
ネガティブ 20%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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